Deck 9: Hypothesis Testing

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Question
A test is made of <strong>A test is made of   . A sample of size n = 67 is drawn, and   . The population standard deviation is   . Compute the value of the test statistic z.</strong> A) 0.15 B) -1.02 C) -5.01 D) -0.12 <div style=padding-top: 35px> . A sample of size n = 67 is drawn, and <strong>A test is made of   . A sample of size n = 67 is drawn, and   . The population standard deviation is   . Compute the value of the test statistic z.</strong> A) 0.15 B) -1.02 C) -5.01 D) -0.12 <div style=padding-top: 35px> . The population standard deviation is <strong>A test is made of   . A sample of size n = 67 is drawn, and   . The population standard deviation is   . Compute the value of the test statistic z.</strong> A) 0.15 B) -1.02 C) -5.01 D) -0.12 <div style=padding-top: 35px> . Compute the value of the test statistic z.

A) 0.15
B) -1.02
C) -5.01
D) -0.12
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Question
A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 25 miles per gallon (mpg). A random sample of 57 cars are selected and the air filter of each is replaced with
A new one. Let <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 25 miles per gallon (mpg). A random sample of 57 cars are selected and the air filter of each is replaced with A new one. Let   be the population mean fuel efficiency score that would occur if every car's air Filter were replaced. The air filter change is deemed effective if   mpg. A test is made of   . Consider these possible conclusions: i. The air filter changes are effective. ii. The air filter changes are not effective. iii.. The air filter changes might not be effective. Which of the three conclusions is best if   is not rejected?</strong> A) ii B) i C) iii <div style=padding-top: 35px> be the population mean fuel efficiency score that would occur if every car's air
Filter were replaced. The air filter change is deemed effective if <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 25 miles per gallon (mpg). A random sample of 57 cars are selected and the air filter of each is replaced with A new one. Let   be the population mean fuel efficiency score that would occur if every car's air Filter were replaced. The air filter change is deemed effective if   mpg. A test is made of   . Consider these possible conclusions: i. The air filter changes are effective. ii. The air filter changes are not effective. iii.. The air filter changes might not be effective. Which of the three conclusions is best if   is not rejected?</strong> A) ii B) i C) iii <div style=padding-top: 35px> mpg. A test is made of <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 25 miles per gallon (mpg). A random sample of 57 cars are selected and the air filter of each is replaced with A new one. Let   be the population mean fuel efficiency score that would occur if every car's air Filter were replaced. The air filter change is deemed effective if   mpg. A test is made of   . Consider these possible conclusions: i. The air filter changes are effective. ii. The air filter changes are not effective. iii.. The air filter changes might not be effective. Which of the three conclusions is best if   is not rejected?</strong> A) ii B) i C) iii <div style=padding-top: 35px> . Consider these possible conclusions:
i. The air filter changes are effective.
ii. The air filter changes are not effective.
iii.. The air filter changes might not be effective.
Which of the three conclusions is best if <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 25 miles per gallon (mpg). A random sample of 57 cars are selected and the air filter of each is replaced with A new one. Let   be the population mean fuel efficiency score that would occur if every car's air Filter were replaced. The air filter change is deemed effective if   mpg. A test is made of   . Consider these possible conclusions: i. The air filter changes are effective. ii. The air filter changes are not effective. iii.. The air filter changes might not be effective. Which of the three conclusions is best if   is not rejected?</strong> A) ii B) i C) iii <div style=padding-top: 35px> is not rejected?

A) ii
B) i
C) iii
Question
A test is made of <strong>A test is made of   versus   . A sample of size n=60 is drawn, and   The population standard deviation is   . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.22,  not rejected B) 1.68,   rejected C) 0.22,   rejected D) 1.68,   not rejected <div style=padding-top: 35px> versus <strong>A test is made of   versus   . A sample of size n=60 is drawn, and   The population standard deviation is   . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.22,  not rejected B) 1.68,   rejected C) 0.22,   rejected D) 1.68,   not rejected <div style=padding-top: 35px> . A sample of size n=60 is drawn, and <strong>A test is made of   versus   . A sample of size n=60 is drawn, and   The population standard deviation is   . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.22,  not rejected B) 1.68,   rejected C) 0.22,   rejected D) 1.68,   not rejected <div style=padding-top: 35px> The population standard deviation is <strong>A test is made of   versus   . A sample of size n=60 is drawn, and   The population standard deviation is   . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.22,  not rejected B) 1.68,   rejected C) 0.22,   rejected D) 1.68,   not rejected <div style=padding-top: 35px> . Compute the value of the test statistic z and determine if <strong>A test is made of   versus   . A sample of size n=60 is drawn, and   The population standard deviation is   . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.22,  not rejected B) 1.68,   rejected C) 0.22,   rejected D) 1.68,   not rejected <div style=padding-top: 35px> is rejected at the <strong>A test is made of   versus   . A sample of size n=60 is drawn, and   The population standard deviation is   . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.22,  not rejected B) 1.68,   rejected C) 0.22,   rejected D) 1.68,   not rejected <div style=padding-top: 35px> level.

A) 0.22,<strong>A test is made of   versus   . A sample of size n=60 is drawn, and   The population standard deviation is   . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.22,  not rejected B) 1.68,   rejected C) 0.22,   rejected D) 1.68,   not rejected <div style=padding-top: 35px> not rejected
B) 1.68, <strong>A test is made of   versus   . A sample of size n=60 is drawn, and   The population standard deviation is   . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.22,  not rejected B) 1.68,   rejected C) 0.22,   rejected D) 1.68,   not rejected <div style=padding-top: 35px> rejected
C) 0.22, <strong>A test is made of   versus   . A sample of size n=60 is drawn, and   The population standard deviation is   . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.22,  not rejected B) 1.68,   rejected C) 0.22,   rejected D) 1.68,   not rejected <div style=padding-top: 35px> rejected
D) 1.68, <strong>A test is made of   versus   . A sample of size n=60 is drawn, and   The population standard deviation is   . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.22,  not rejected B) 1.68,   rejected C) 0.22,   rejected D) 1.68,   not rejected <div style=padding-top: 35px> not rejected
Question
A new organic pest control formula is being tested on potato plants to see whether it can reduce the level of potato beetle infestation. The mean number of beetles per untreated plant is 8. It is hoped That the new formula may reduce this infestation rate. State the appropriate null and alternate
Hypotheses.

A) <strong>A new organic pest control formula is being tested on potato plants to see whether it can reduce the level of potato beetle infestation. The mean number of beetles per untreated plant is 8. It is hoped That the new formula may reduce this infestation rate. State the appropriate null and alternate Hypotheses. </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>A new organic pest control formula is being tested on potato plants to see whether it can reduce the level of potato beetle infestation. The mean number of beetles per untreated plant is 8. It is hoped That the new formula may reduce this infestation rate. State the appropriate null and alternate Hypotheses. </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>A new organic pest control formula is being tested on potato plants to see whether it can reduce the level of potato beetle infestation. The mean number of beetles per untreated plant is 8. It is hoped That the new formula may reduce this infestation rate. State the appropriate null and alternate Hypotheses. </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>A new organic pest control formula is being tested on potato plants to see whether it can reduce the level of potato beetle infestation. The mean number of beetles per untreated plant is 8. It is hoped That the new formula may reduce this infestation rate. State the appropriate null and alternate Hypotheses. </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
A garden supplier claims that its new variety of giant tomato produces fruit with a mean weight of 38 ounces. A test is made of <strong>A garden supplier claims that its new variety of giant tomato produces fruit with a mean weight of 38 ounces. A test is made of   versus   . The null hypothesis is rejected. State the Appropriate conclusion.</strong> A) There is not enough evidence to conclude that the mean weight is 38 ounces. B) The mean weight is equal to 38 ounces. C) There is not enough evidence to conclude that the mean weight differs from 38 ounces. D) The mean weight is not equal to 38 ounces. <div style=padding-top: 35px> versus <strong>A garden supplier claims that its new variety of giant tomato produces fruit with a mean weight of 38 ounces. A test is made of   versus   . The null hypothesis is rejected. State the Appropriate conclusion.</strong> A) There is not enough evidence to conclude that the mean weight is 38 ounces. B) The mean weight is equal to 38 ounces. C) There is not enough evidence to conclude that the mean weight differs from 38 ounces. D) The mean weight is not equal to 38 ounces. <div style=padding-top: 35px> . The null hypothesis is rejected. State the
Appropriate conclusion.

A) There is not enough evidence to conclude that the mean weight is 38 ounces.
B) The mean weight is equal to 38 ounces.
C) There is not enough evidence to conclude that the mean weight differs from 38 ounces.
D) The mean weight is not equal to 38 ounces.
Question
A garden supplier claims that its new variety of giant tomato produces fruit with a mean weight of 42 ounces. A test is made of <strong>A garden supplier claims that its new variety of giant tomato produces fruit with a mean weight of 42 ounces. A test is made of   . The null hypothesis is not rejected. State The appropriate conclusion.</strong> A) There is not enough evidence to conclude that the mean weight is 42 ounces. B) The mean weight is not equal to 42 ounces. C) The mean weight is equal to 42 ounces. D) There is not enough evidence to conclude that the mean weight differs from 42 ounces. <div style=padding-top: 35px> . The null hypothesis is not rejected. State
The appropriate conclusion.

A) There is not enough evidence to conclude that the mean weight is 42 ounces.
B) The mean weight is not equal to 42 ounces.
C) The mean weight is equal to 42 ounces.
D) There is not enough evidence to conclude that the mean weight differs from 42 ounces.
Question
A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24 miles per gallon (mpg). A random sample of 44 cars are selected and the air filter of each is replaced with a new one. Let =<strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24 miles per gallon (mpg). A random sample of 44 cars are selected and the air filter of each is replaced with a new one. Let =  be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if  >24 mpg. A test is made of    versus https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . Consider these possible conclusions: i. The air filter changes are effective. ii. The air filter changes are not effective. Iii. The air filter changes might not be successful. Which of the three conclusions is best if   is rejected?</strong> A) iii B) ii C) i <div style=padding-top: 35px> be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24 miles per gallon (mpg). A random sample of 44 cars are selected and the air filter of each is replaced with a new one. Let =  be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if  >24 mpg. A test is made of    versus https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . Consider these possible conclusions: i. The air filter changes are effective. ii. The air filter changes are not effective. Iii. The air filter changes might not be successful. Which of the three conclusions is best if   is rejected?</strong> A) iii B) ii C) i <div style=padding-top: 35px> >24 mpg. A test is made of <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24 miles per gallon (mpg). A random sample of 44 cars are selected and the air filter of each is replaced with a new one. Let =  be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if  >24 mpg. A test is made of    versus https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . Consider these possible conclusions: i. The air filter changes are effective. ii. The air filter changes are not effective. Iii. The air filter changes might not be successful. Which of the three conclusions is best if   is rejected?</strong> A) iii B) ii C) i <div style=padding-top: 35px> versus https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/<strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24 miles per gallon (mpg). A random sample of 44 cars are selected and the air filter of each is replaced with a new one. Let =  be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if  >24 mpg. A test is made of    versus https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . Consider these possible conclusions: i. The air filter changes are effective. ii. The air filter changes are not effective. Iii. The air filter changes might not be successful. Which of the three conclusions is best if   is rejected?</strong> A) iii B) ii C) i <div style=padding-top: 35px> . Consider these possible conclusions:
i. The air filter changes are effective.
ii. The air filter changes are not effective.
Iii. The air filter changes might not be successful.
Which of the three conclusions is best if <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24 miles per gallon (mpg). A random sample of 44 cars are selected and the air filter of each is replaced with a new one. Let =  be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if  >24 mpg. A test is made of    versus https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . Consider these possible conclusions: i. The air filter changes are effective. ii. The air filter changes are not effective. Iii. The air filter changes might not be successful. Which of the three conclusions is best if   is rejected?</strong> A) iii B) ii C) i <div style=padding-top: 35px> is rejected?

A) iii
B) ii
C) i
Question
A sample of 50 chewable vitamin tablets have a sample mean of 300 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the
Mean mass of vitamin C per tablet differs from 297 milligrams. State the appropriate null and
Alternate hypotheses.

A) <strong>A sample of 50 chewable vitamin tablets have a sample mean of 300 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the Mean mass of vitamin C per tablet differs from 297 milligrams. State the appropriate null and Alternate hypotheses. </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>A sample of 50 chewable vitamin tablets have a sample mean of 300 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the Mean mass of vitamin C per tablet differs from 297 milligrams. State the appropriate null and Alternate hypotheses. </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>A sample of 50 chewable vitamin tablets have a sample mean of 300 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the Mean mass of vitamin C per tablet differs from 297 milligrams. State the appropriate null and Alternate hypotheses. </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>A sample of 50 chewable vitamin tablets have a sample mean of 300 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the Mean mass of vitamin C per tablet differs from 297 milligrams. State the appropriate null and Alternate hypotheses. </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of H0: μ=48 versus H1:μ≠ 48. The true value of is 48 and H0 is not rejected.

A) Correct decision
B) Type I error
C) Type II error
Question
A grocery store owner claims that the mean amount spent per checkout is more than $74. A test is made of <strong>A grocery store owner claims that the mean amount spent per checkout is more than $74. A test is made of   . The null hypothesis is rejected. State the appropriate Conclusion.</strong> A) The mean checkout amount is greater than $74. B) There is not enough evidence to conclude that the mean checkout price is greater than $74. C) The mean checkout amount is less than or equal to $74. D) There is not enough evidence to conclude that the mean checkout price is less than or equal to $74. <div style=padding-top: 35px> . The null hypothesis is rejected. State the appropriate
Conclusion.

A) The mean checkout amount is greater than $74.
B) There is not enough evidence to conclude that the mean checkout price is greater than $74.
C) The mean checkout amount is less than or equal to $74.
D) There is not enough evidence to conclude that the mean checkout price is less than or equal to $74.
Question
A sample of 60 chewable vitamin tablets have a sample mean of 275 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the
Mean mass of vitamin C per tablet exceeds 272 milligrams. State the appropriate null and alternate
Hypotheses.

A) <strong>A sample of 60 chewable vitamin tablets have a sample mean of 275 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the Mean mass of vitamin C per tablet exceeds 272 milligrams. State the appropriate null and alternate Hypotheses. </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>A sample of 60 chewable vitamin tablets have a sample mean of 275 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the Mean mass of vitamin C per tablet exceeds 272 milligrams. State the appropriate null and alternate Hypotheses. </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>A sample of 60 chewable vitamin tablets have a sample mean of 275 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the Mean mass of vitamin C per tablet exceeds 272 milligrams. State the appropriate null and alternate Hypotheses. </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>A sample of 60 chewable vitamin tablets have a sample mean of 275 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the Mean mass of vitamin C per tablet exceeds 272 milligrams. State the appropriate null and alternate Hypotheses. </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
A test of <strong>A test of   versus   is performed using a significance level of  =0.05. The value of the test statistic is z=-1.81. Is   rejected?</strong> A) Yes B) No C) It cannot be determined. <div style=padding-top: 35px> versus <strong>A test of   versus   is performed using a significance level of  =0.05. The value of the test statistic is z=-1.81. Is   rejected?</strong> A) Yes B) No C) It cannot be determined. <div style=padding-top: 35px> is performed using a significance level of <strong>A test of   versus   is performed using a significance level of  =0.05. The value of the test statistic is z=-1.81. Is   rejected?</strong> A) Yes B) No C) It cannot be determined. <div style=padding-top: 35px> =0.05. The value of the test statistic is z=-1.81. Is <strong>A test of   versus   is performed using a significance level of  =0.05. The value of the test statistic is z=-1.81. Is   rejected?</strong> A) Yes B) No C) It cannot be determined. <div style=padding-top: 35px> rejected?

A) Yes
B) No
C) It cannot be determined.
Question
A test is made of <strong>A test is made of   versus   . A sample of size n=76 is drawn, and   . The population standard deviation is https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.16, H<sub>0</sub> rejected B) 1.39, H<sub>0</sub> rejected C) 1.39, H<sub>0</sub> not rejected D) 0.16, H<sub>0</sub> not rejected <div style=padding-top: 35px> versus <strong>A test is made of   versus   . A sample of size n=76 is drawn, and   . The population standard deviation is https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.16, H<sub>0</sub> rejected B) 1.39, H<sub>0</sub> rejected C) 1.39, H<sub>0</sub> not rejected D) 0.16, H<sub>0</sub> not rejected <div style=padding-top: 35px> . A sample of size n=76 is drawn, and <strong>A test is made of   versus   . A sample of size n=76 is drawn, and   . The population standard deviation is https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.16, H<sub>0</sub> rejected B) 1.39, H<sub>0</sub> rejected C) 1.39, H<sub>0</sub> not rejected D) 0.16, H<sub>0</sub> not rejected <div style=padding-top: 35px> . The population standard deviation is https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/<strong>A test is made of   versus   . A sample of size n=76 is drawn, and   . The population standard deviation is https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.16, H<sub>0</sub> rejected B) 1.39, H<sub>0</sub> rejected C) 1.39, H<sub>0</sub> not rejected D) 0.16, H<sub>0</sub> not rejected <div style=padding-top: 35px> . Compute the value of the test statistic z and determine if <strong>A test is made of   versus   . A sample of size n=76 is drawn, and   . The population standard deviation is https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.16, H<sub>0</sub> rejected B) 1.39, H<sub>0</sub> rejected C) 1.39, H<sub>0</sub> not rejected D) 0.16, H<sub>0</sub> not rejected <div style=padding-top: 35px> is rejected at the <strong>A test is made of   versus   . A sample of size n=76 is drawn, and   . The population standard deviation is https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.16, H<sub>0</sub> rejected B) 1.39, H<sub>0</sub> rejected C) 1.39, H<sub>0</sub> not rejected D) 0.16, H<sub>0</sub> not rejected <div style=padding-top: 35px> level.

A) 0.16, H0 rejected
B) 1.39, H0 rejected
C) 1.39, H0 not rejected
D) 0.16, H0 not rejected
Question
A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 23.4 miles per gallon (mpg). A random sample of 41 cars are selected and the air filter of each is replaced with
A new one. Let μ be the population mean fuel efficiency score that would occur if every car's air
Filter were replaced. The air filter change is deemed effective if <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 23.4 miles per gallon (mpg). A random sample of 41 cars are selected and the air filter of each is replaced with A new one. Let μ be the population mean fuel efficiency score that would occur if every car's air Filter were replaced. The air filter change is deemed effective if   mpg. A test is made of   Assume that the air filter changes are effective but the conclusion is reached that the changes might not be Effective. Which type of error, of any, has occurred?</strong> A) Type II B) No error - correct decision C) Type I D) Mechanical failure <div style=padding-top: 35px> mpg. A test is made of <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 23.4 miles per gallon (mpg). A random sample of 41 cars are selected and the air filter of each is replaced with A new one. Let μ be the population mean fuel efficiency score that would occur if every car's air Filter were replaced. The air filter change is deemed effective if   mpg. A test is made of   Assume that the air filter changes are effective but the conclusion is reached that the changes might not be Effective. Which type of error, of any, has occurred?</strong> A) Type II B) No error - correct decision C) Type I D) Mechanical failure <div style=padding-top: 35px> Assume that the air filter changes are effective but the conclusion is reached that the changes might not be
Effective. Which type of error, of any, has occurred?

A) Type II
B) No error - correct decision
C) Type I
D) Mechanical failure
Question
A test is made of <strong>A test is made of    versus    A sample of size n=67 is drawn, and   =45 . The population standard deviation is  =29 . Compute the value of the test statistic  </strong> A) 0.14 B) 1.13 C) 6.08 D) 0.87 <div style=padding-top: 35px> versus <strong>A test is made of    versus    A sample of size n=67 is drawn, and   =45 . The population standard deviation is  =29 . Compute the value of the test statistic  </strong> A) 0.14 B) 1.13 C) 6.08 D) 0.87 <div style=padding-top: 35px> A sample of size n=67 is drawn, and <strong>A test is made of    versus    A sample of size n=67 is drawn, and   =45 . The population standard deviation is  =29 . Compute the value of the test statistic  </strong> A) 0.14 B) 1.13 C) 6.08 D) 0.87 <div style=padding-top: 35px> =45 . The population standard deviation is <strong>A test is made of    versus    A sample of size n=67 is drawn, and   =45 . The population standard deviation is  =29 . Compute the value of the test statistic  </strong> A) 0.14 B) 1.13 C) 6.08 D) 0.87 <div style=padding-top: 35px> =29 . Compute the value of the test statistic <strong>A test is made of    versus    A sample of size n=67 is drawn, and   =45 . The population standard deviation is  =29 . Compute the value of the test statistic  </strong> A) 0.14 B) 1.13 C) 6.08 D) 0.87 <div style=padding-top: 35px>

A) 0.14
B) 1.13
C) 6.08
D) 0.87
Question
Determine whether the alternative hypothesis is left-tailed, right-tailed, or two-tailed. <strong>Determine whether the alternative hypothesis is left-tailed, right-tailed, or two-tailed.  </strong> A) two-tailed B) right-tailed C) left-tailed <div style=padding-top: 35px>

A) two-tailed
B) right-tailed
C) left-tailed
Question
A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24.3 miles per gallon (mpg). A random sample of 43 cars are selected and the air filter of each is replaced with
A new one. Let μ be the population mean fuel efficiency score that would occur if every car's air
Filter were replaced. The air filter change is deemed effective if <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24.3 miles per gallon (mpg). A random sample of 43 cars are selected and the air filter of each is replaced with A new one. Let μ be the population mean fuel efficiency score that would occur if every car's air Filter were replaced. The air filter change is deemed effective if   . A test is made of   Assume that the air filter changes are not effective. Which type of error is impossible?</strong> A) Type I B) Type II <div style=padding-top: 35px> . A test is made of <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24.3 miles per gallon (mpg). A random sample of 43 cars are selected and the air filter of each is replaced with A new one. Let μ be the population mean fuel efficiency score that would occur if every car's air Filter were replaced. The air filter change is deemed effective if   . A test is made of   Assume that the air filter changes are not effective. Which type of error is impossible?</strong> A) Type I B) Type II <div style=padding-top: 35px> Assume that the air filter changes are not effective. Which type of error is impossible?

A) Type I
B) Type II
Question
Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of H0:μ=62 versus H1:μ≠62
The true value of <strong>Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of H<sub>0</sub>:μ=62  versus H<sub>1</sub>:μ≠62 The true value of   is 64 and H<sub>0</sub>  is rejected.</strong> A) Type I error B) Type II error C) Correct decision <div style=padding-top: 35px> is 64 and H0 is rejected.

A) Type I error
B) Type II error
C) Correct decision
Question
A grocery store owner claims that the mean amount spent per checkout is more than $85. A test is made of <strong>A grocery store owner claims that the mean amount spent per checkout is more than $85. A test is made of   . The null hypothesis is not rejected. State the appropriate Conclusion.</strong> A) The mean checkout amount is less than or equal to $85. B) There is not enough evidence to conclude that the mean checkout price is less than or equal to $85. C) The mean checkout amount is greater than $85. D) There is not enough evidence to conclude that the mean checkout price is greater than $85. <div style=padding-top: 35px> . The null hypothesis is not rejected. State the appropriate
Conclusion.

A) The mean checkout amount is less than or equal to $85.
B) There is not enough evidence to conclude that the mean checkout price is less than or equal to $85.
C) The mean checkout amount is greater than $85.
D) There is not enough evidence to conclude that the mean checkout price is greater than $85.
Question
A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 25.2 miles per gallon (mpg). A random sample of 59 cars are selected and the air filter of each is replaced with
A new one. Let μ be the population mean fuel efficiency score that would occur if every car's air Filter were replaced. The air filter change is deemed effective if <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 25.2 miles per gallon (mpg). A random sample of 59 cars are selected and the air filter of each is replaced with A new one. Let μ be the population mean fuel efficiency score that would occur if every car's air Filter were replaced. The air filter change is deemed effective if   mpg. A test is made of   Assume that the air filter changes are effective. Which type of error is impossible?</strong> A) Type I B) Type II <div style=padding-top: 35px> mpg. A test is made of <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 25.2 miles per gallon (mpg). A random sample of 59 cars are selected and the air filter of each is replaced with A new one. Let μ be the population mean fuel efficiency score that would occur if every car's air Filter were replaced. The air filter change is deemed effective if   mpg. A test is made of   Assume that the air filter changes are effective. Which type of error is impossible?</strong> A) Type I B) Type II <div style=padding-top: 35px> Assume that the air filter changes are effective. Which type of error is impossible?

A) Type I
B) Type II
Question
A test of H0: <strong>A test of H<sub>0</sub>:  =57 versus H<sub>1</sub>:   57 is performed using a significance level of  :=0.05. The P-value is 0.138 . Is H<sub>0</sub> rejected?</strong> A) It cannot be determined. B) Yes C) No <div style=padding-top: 35px> =57 versus H1: <strong>A test of H<sub>0</sub>:  =57 versus H<sub>1</sub>:   57 is performed using a significance level of  :=0.05. The P-value is 0.138 . Is H<sub>0</sub> rejected?</strong> A) It cannot be determined. B) Yes C) No <div style=padding-top: 35px> 57 is performed using a significance level of <strong>A test of H<sub>0</sub>:  =57 versus H<sub>1</sub>:   57 is performed using a significance level of  :=0.05. The P-value is 0.138 . Is H<sub>0</sub> rejected?</strong> A) It cannot be determined. B) Yes C) No <div style=padding-top: 35px> :=0.05. The P-value is 0.138 . Is H0 rejected?

A) It cannot be determined.
B) Yes
C) No
Question
<strong>   </strong> A) Type I error B) Type II error C) Correct decision <div style=padding-top: 35px> <strong>   </strong> A) Type I error B) Type II error C) Correct decision <div style=padding-top: 35px>

A) Type I error
B) Type II error
C) Correct decision
Question
Alice will perform a hypothesis test at the <strong>Alice will perform a hypothesis test at the  =0.05 level. Bob will perform the same test at the  = 0.01 level. If H<sub>0</sub> is true, who has the greater probability of making a type I error?</strong> A) Alice B) Bob C) Neither <div style=padding-top: 35px> =0.05 level. Bob will perform the same test at the <strong>Alice will perform a hypothesis test at the  =0.05 level. Bob will perform the same test at the  = 0.01 level. If H<sub>0</sub> is true, who has the greater probability of making a type I error?</strong> A) Alice B) Bob C) Neither <div style=padding-top: 35px> = 0.01 level. If H0 is true, who has the greater probability of making a type I error?

A) Alice
B) Bob
C) Neither
Question
<strong> </strong> A) Correct decision B) Type I error C) Type II error <div style=padding-top: 35px>

A) Correct decision
B) Type I error
C) Type II error
Question
The Golden Comet is a hybrid chicken that is prized for its high egg production rate and gentle disposition. According to recent studies, the mean rate of egg production for 1-year-old Golden Comets is 5.1 eggs/week.
Sarah has 35 1-year-old hens that are fed exclusively on natural scratch feed: insects, seeds, and plants that the hens obtain as they range freely around the farm. Her hens exhibit a mean egg-laying rate of 5.4 eggs/day.
Sarah wants to determine whether the mean laying rate The Golden Comet is a hybrid chicken that is prized for its high egg production rate and gentle disposition. According to recent studies, the mean rate of egg production for 1-year-old Golden Comets is 5.1 eggs/week. Sarah has 35 1-year-old hens that are fed exclusively on natural scratch feed: insects, seeds, and plants that the hens obtain as they range freely around the farm. Her hens exhibit a mean egg-laying rate of 5.4 eggs/day. Sarah wants to determine whether the mean laying rate   for her hens is higher than the mean rate for all Golden Comets. Assume the population standard deviation to be   i. State the appropriate null and alternate hypotheses. ii. Compute the value of the test statistic. iii. State a conclusion. Use the   level of significance.<div style=padding-top: 35px> for her hens is higher than the mean rate for all Golden Comets. Assume the population standard deviation to be The Golden Comet is a hybrid chicken that is prized for its high egg production rate and gentle disposition. According to recent studies, the mean rate of egg production for 1-year-old Golden Comets is 5.1 eggs/week. Sarah has 35 1-year-old hens that are fed exclusively on natural scratch feed: insects, seeds, and plants that the hens obtain as they range freely around the farm. Her hens exhibit a mean egg-laying rate of 5.4 eggs/day. Sarah wants to determine whether the mean laying rate   for her hens is higher than the mean rate for all Golden Comets. Assume the population standard deviation to be   i. State the appropriate null and alternate hypotheses. ii. Compute the value of the test statistic. iii. State a conclusion. Use the   level of significance.<div style=padding-top: 35px>
i. State the appropriate null and alternate hypotheses.
ii. Compute the value of the test statistic.
iii. State a conclusion. Use the The Golden Comet is a hybrid chicken that is prized for its high egg production rate and gentle disposition. According to recent studies, the mean rate of egg production for 1-year-old Golden Comets is 5.1 eggs/week. Sarah has 35 1-year-old hens that are fed exclusively on natural scratch feed: insects, seeds, and plants that the hens obtain as they range freely around the farm. Her hens exhibit a mean egg-laying rate of 5.4 eggs/day. Sarah wants to determine whether the mean laying rate   for her hens is higher than the mean rate for all Golden Comets. Assume the population standard deviation to be   i. State the appropriate null and alternate hypotheses. ii. Compute the value of the test statistic. iii. State a conclusion. Use the   level of significance.<div style=padding-top: 35px> level of significance.
Question
The Golden Comet is a hybrid chicken that is prized for its high egg production rate and gentle disposition. According to recent studies, the mean rate of egg production for 1-year-old Golden
Comets is 5.4 eggs/week.
Sarah has 46 1-year-old hens that are fed exclusively on natural scratch feed: insects, seeds, and
Plants that the hens obtain as they range freely around the farm. Her hens exhibit a mean egg-laying
Rate of 5.9 eggs/day.
Sarah wants to determine whether the mean laying rate <strong>The Golden Comet is a hybrid chicken that is prized for its high egg production rate and gentle disposition. According to recent studies, the mean rate of egg production for 1-year-old Golden Comets is 5.4 eggs/week. Sarah has 46 1-year-old hens that are fed exclusively on natural scratch feed: insects, seeds, and Plants that the hens obtain as they range freely around the farm. Her hens exhibit a mean egg-laying Rate of 5.9 eggs/day. Sarah wants to determine whether the mean laying rate   for her hens is higher than the mean rate for all Golden Comets. State the appropriate null and alternate hypotheses. </strong> A)   B)   C)   D)   <div style=padding-top: 35px> for her hens is higher than the mean rate for all
Golden Comets. State the appropriate null and alternate hypotheses.

A) <strong>The Golden Comet is a hybrid chicken that is prized for its high egg production rate and gentle disposition. According to recent studies, the mean rate of egg production for 1-year-old Golden Comets is 5.4 eggs/week. Sarah has 46 1-year-old hens that are fed exclusively on natural scratch feed: insects, seeds, and Plants that the hens obtain as they range freely around the farm. Her hens exhibit a mean egg-laying Rate of 5.9 eggs/day. Sarah wants to determine whether the mean laying rate   for her hens is higher than the mean rate for all Golden Comets. State the appropriate null and alternate hypotheses. </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>The Golden Comet is a hybrid chicken that is prized for its high egg production rate and gentle disposition. According to recent studies, the mean rate of egg production for 1-year-old Golden Comets is 5.4 eggs/week. Sarah has 46 1-year-old hens that are fed exclusively on natural scratch feed: insects, seeds, and Plants that the hens obtain as they range freely around the farm. Her hens exhibit a mean egg-laying Rate of 5.9 eggs/day. Sarah wants to determine whether the mean laying rate   for her hens is higher than the mean rate for all Golden Comets. State the appropriate null and alternate hypotheses. </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>The Golden Comet is a hybrid chicken that is prized for its high egg production rate and gentle disposition. According to recent studies, the mean rate of egg production for 1-year-old Golden Comets is 5.4 eggs/week. Sarah has 46 1-year-old hens that are fed exclusively on natural scratch feed: insects, seeds, and Plants that the hens obtain as they range freely around the farm. Her hens exhibit a mean egg-laying Rate of 5.9 eggs/day. Sarah wants to determine whether the mean laying rate   for her hens is higher than the mean rate for all Golden Comets. State the appropriate null and alternate hypotheses. </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>The Golden Comet is a hybrid chicken that is prized for its high egg production rate and gentle disposition. According to recent studies, the mean rate of egg production for 1-year-old Golden Comets is 5.4 eggs/week. Sarah has 46 1-year-old hens that are fed exclusively on natural scratch feed: insects, seeds, and Plants that the hens obtain as they range freely around the farm. Her hens exhibit a mean egg-laying Rate of 5.9 eggs/day. Sarah wants to determine whether the mean laying rate   for her hens is higher than the mean rate for all Golden Comets. State the appropriate null and alternate hypotheses. </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
If P=0.016, which of the following is the best conclusion?

A) If H0 is false, the probability of obtaining a test statistic as extreme as or more extreme than the one actually observed is 0.016.
B) If H0 is true, the probability of obtaining a test statistic as extreme as or more extreme than the one actually observed is 0.016.
C) The probability that H0 is true is 0.016.
D) The probability that H0 is false is 0.016 .
Question
A test of H0: <strong>A test of H<sub>0</sub>:  =59 versus H<sub>1</sub>:   59 is performed using a significance level of  =0.01 . The value of the test statistic is z=-2.66. If the true value of   is 55 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type I error B) Correct decision C) Type II error <div style=padding-top: 35px> =59 versus H1: <strong>A test of H<sub>0</sub>:  =59 versus H<sub>1</sub>:   59 is performed using a significance level of  =0.01 . The value of the test statistic is z=-2.66. If the true value of   is 55 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type I error B) Correct decision C) Type II error <div style=padding-top: 35px> 59 is performed using a significance level of <strong>A test of H<sub>0</sub>:  =59 versus H<sub>1</sub>:   59 is performed using a significance level of  =0.01 . The value of the test statistic is z=-2.66. If the true value of   is 55 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type I error B) Correct decision C) Type II error <div style=padding-top: 35px> =0.01 . The value of the test statistic is z=-2.66.
If the true value of <strong>A test of H<sub>0</sub>:  =59 versus H<sub>1</sub>:   59 is performed using a significance level of  =0.01 . The value of the test statistic is z=-2.66. If the true value of   is 55 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type I error B) Correct decision C) Type II error <div style=padding-top: 35px> is 55 , does the conclusion result in a Type I error, a Type II error, or a correct decision?

A) Type I error
B) Correct decision
C) Type II error
Question
Mercury is a heavy metal that can cause severe health problems in even small concentrations. Fish and shellfish efficiently concentrate mercury into their flesh, so it is important to monitor seafood for its mercury
Content.
An extensive study conducted in 1980 concluded that the mean mercury level in oysters from the White Bear
Estuary was 0.021 parts per million (ppm) with a standard deviation <strong>Mercury is a heavy metal that can cause severe health problems in even small concentrations. Fish and shellfish efficiently concentrate mercury into their flesh, so it is important to monitor seafood for its mercury Content. An extensive study conducted in 1980 concluded that the mean mercury level in oysters from the White Bear Estuary was 0.021 parts per million (ppm) with a standard deviation   In 2012, a Sample of 47 oysters from the same estuary exhibited a mean mercury concentration of 0.017 ppm. Can you conclude that the 2012 mercury concentration is lower than in 1980? Use the   level of Significance.</strong> A) No. There is insufficient evidence to conclude that the mercury concentration has decreased from 1980 to 2012. B) Yes. The mercury concentration appears to be lower in 2012. C) There is not enough information to reach a conclusion. <div style=padding-top: 35px> In 2012, a
Sample of 47 oysters from the same estuary exhibited a mean mercury concentration of 0.017 ppm.
Can you conclude that the 2012 mercury concentration is lower than in 1980? Use the <strong>Mercury is a heavy metal that can cause severe health problems in even small concentrations. Fish and shellfish efficiently concentrate mercury into their flesh, so it is important to monitor seafood for its mercury Content. An extensive study conducted in 1980 concluded that the mean mercury level in oysters from the White Bear Estuary was 0.021 parts per million (ppm) with a standard deviation   In 2012, a Sample of 47 oysters from the same estuary exhibited a mean mercury concentration of 0.017 ppm. Can you conclude that the 2012 mercury concentration is lower than in 1980? Use the   level of Significance.</strong> A) No. There is insufficient evidence to conclude that the mercury concentration has decreased from 1980 to 2012. B) Yes. The mercury concentration appears to be lower in 2012. C) There is not enough information to reach a conclusion. <div style=padding-top: 35px> level of
Significance.

A) No. There is insufficient evidence to conclude that the mercury concentration has decreased from 1980 to 2012.
B) Yes. The mercury concentration appears to be lower in 2012.
C) There is not enough information to reach a conclusion.
Question
A test of H0:<strong>A test of H<sub>0</sub>: =41 versus H<sub>1</sub>:   41 is performed using a significance level of  =0.05 . The value of the test statistic is z=-1.84. Is H0 rejected?</strong> A) No B) It cannot be determined. C) Yes <div style=padding-top: 35px> =41 versus H1: <strong>A test of H<sub>0</sub>: =41 versus H<sub>1</sub>:   41 is performed using a significance level of  =0.05 . The value of the test statistic is z=-1.84. Is H0 rejected?</strong> A) No B) It cannot be determined. C) Yes <div style=padding-top: 35px> 41 is performed using a significance level of <strong>A test of H<sub>0</sub>: =41 versus H<sub>1</sub>:   41 is performed using a significance level of  =0.05 . The value of the test statistic is z=-1.84. Is H0 rejected?</strong> A) No B) It cannot be determined. C) Yes <div style=padding-top: 35px> =0.05 . The value of the test statistic is z=-1.84. Is H0 rejected?

A) No
B) It cannot be determined.
C) Yes
Question
At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver
500 milliliters of water. The technician dispenses 38 samples of water and determines the volume of
each sample. The 38 samples have a mean volume of At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 500 milliliters of water. The technician dispenses 38 samples of water and determines the volume of each sample. The 38 samples have a mean volume of   . The machine is out of calibration if the mean volume differs from 500 mL. The technician wants to perform a hypothesis test to determine whether the machine is out of calibration. The standard deviation of the dispensed volume is known to be   i). State the appropriate null and alternate hypotheses. ii). Compute the value of the test statistic. iii). State a conclusion. Use the   level of significance.<div style=padding-top: 35px> . The machine is out of
calibration if the mean volume differs from 500 mL.
The technician wants to perform a hypothesis test to determine whether the machine is out of calibration. The
standard deviation of the dispensed volume is known to be At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 500 milliliters of water. The technician dispenses 38 samples of water and determines the volume of each sample. The 38 samples have a mean volume of   . The machine is out of calibration if the mean volume differs from 500 mL. The technician wants to perform a hypothesis test to determine whether the machine is out of calibration. The standard deviation of the dispensed volume is known to be   i). State the appropriate null and alternate hypotheses. ii). Compute the value of the test statistic. iii). State a conclusion. Use the   level of significance.<div style=padding-top: 35px>
i). State the appropriate null and alternate hypotheses.
ii). Compute the value of the test statistic.
iii). State a conclusion. Use the At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 500 milliliters of water. The technician dispenses 38 samples of water and determines the volume of each sample. The 38 samples have a mean volume of   . The machine is out of calibration if the mean volume differs from 500 mL. The technician wants to perform a hypothesis test to determine whether the machine is out of calibration. The standard deviation of the dispensed volume is known to be   i). State the appropriate null and alternate hypotheses. ii). Compute the value of the test statistic. iii). State a conclusion. Use the   level of significance.<div style=padding-top: 35px> level of significance.
Question
A test of <strong>A test of    versus    is performed using a significance level of  =0.01 . The value of the test statistic is z=-2.24. If the true value of   is 49 does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type II error B) Type I error C) Correct decision <div style=padding-top: 35px> versus <strong>A test of    versus    is performed using a significance level of  =0.01 . The value of the test statistic is z=-2.24. If the true value of   is 49 does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type II error B) Type I error C) Correct decision <div style=padding-top: 35px> is performed using a significance level of <strong>A test of    versus    is performed using a significance level of  =0.01 . The value of the test statistic is z=-2.24. If the true value of   is 49 does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type II error B) Type I error C) Correct decision <div style=padding-top: 35px> =0.01 . The value of the test statistic is z=-2.24.
If the true value of <strong>A test of    versus    is performed using a significance level of  =0.01 . The value of the test statistic is z=-2.24. If the true value of   is 49 does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type II error B) Type I error C) Correct decision <div style=padding-top: 35px> is 49 does the conclusion result in a Type I error, a Type II error, or a correct decision?

A) Type II error
B) Type I error
C) Correct decision
Question
A test of <strong>A test of   45 versus    is performed using a significance level of   =0.01. The value of the test statistic is z=-2.24. If the true value of   is 45 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type I error B) Correct decision C) Type II error <div style=padding-top: 35px> 45 versus <strong>A test of   45 versus    is performed using a significance level of   =0.01. The value of the test statistic is z=-2.24. If the true value of   is 45 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type I error B) Correct decision C) Type II error <div style=padding-top: 35px> is performed using a significance level of <strong>A test of   45 versus    is performed using a significance level of   =0.01. The value of the test statistic is z=-2.24. If the true value of   is 45 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type I error B) Correct decision C) Type II error <div style=padding-top: 35px> =0.01. The value of the test statistic is z=-2.24.
If the true value of <strong>A test of   45 versus    is performed using a significance level of   =0.01. The value of the test statistic is z=-2.24. If the true value of   is 45 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type I error B) Correct decision C) Type II error <div style=padding-top: 35px> is 45 , does the conclusion result in a Type I error, a Type II error, or a correct decision?

A) Type I error
B) Correct decision
C) Type II error
Question
A test of H0:<strong>A test of H<sub>0</sub>: =55 versus H<sub>1</sub>:   55 is performed using a significance level of   :=0.05 . The P-value is 0.048 . If the true value of  : is 59 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type I error B) Type II error C) Correct decision <div style=padding-top: 35px> =55 versus H1: <strong>A test of H<sub>0</sub>: =55 versus H<sub>1</sub>:   55 is performed using a significance level of   :=0.05 . The P-value is 0.048 . If the true value of  : is 59 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type I error B) Type II error C) Correct decision <div style=padding-top: 35px> 55 is performed using a significance level of <strong>A test of H<sub>0</sub>: =55 versus H<sub>1</sub>:   55 is performed using a significance level of   :=0.05 . The P-value is 0.048 . If the true value of  : is 59 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type I error B) Type II error C) Correct decision <div style=padding-top: 35px> :=0.05 . The P-value is 0.048 .
If the true value of <strong>A test of H<sub>0</sub>: =55 versus H<sub>1</sub>:   55 is performed using a significance level of   :=0.05 . The P-value is 0.048 . If the true value of  : is 59 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type I error B) Type II error C) Correct decision <div style=padding-top: 35px> : is 59 , does the conclusion result in a Type I error, a Type II error, or a correct decision?

A) Type I error
B) Type II error
C) Correct decision
Question
A test of H0: <strong>A test of H<sub>0</sub>:  =58 versus H<sub>1</sub>:   58 is performed using a significance level of  =0.05 . The value of the test statistic is z=-2.08. If the true value of  =: is 58 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Correct decision B) Type II error C) Type I error <div style=padding-top: 35px> =58 versus H1: <strong>A test of H<sub>0</sub>:  =58 versus H<sub>1</sub>:   58 is performed using a significance level of  =0.05 . The value of the test statistic is z=-2.08. If the true value of  =: is 58 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Correct decision B) Type II error C) Type I error <div style=padding-top: 35px> 58 is performed using a significance level of <strong>A test of H<sub>0</sub>:  =58 versus H<sub>1</sub>:   58 is performed using a significance level of  =0.05 . The value of the test statistic is z=-2.08. If the true value of  =: is 58 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Correct decision B) Type II error C) Type I error <div style=padding-top: 35px> =0.05 . The value of the test statistic is z=-2.08.
If the true value of <strong>A test of H<sub>0</sub>:  =58 versus H<sub>1</sub>:   58 is performed using a significance level of  =0.05 . The value of the test statistic is z=-2.08. If the true value of  =: is 58 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Correct decision B) Type II error C) Type I error <div style=padding-top: 35px> =: is 58 , does the conclusion result in a Type I error, a Type II error, or a correct decision?

A) Correct decision
B) Type II error
C) Type I error
Question
<strong> </strong> A) Yes B) It cannot be determined. C) No <div style=padding-top: 35px>

A) Yes
B) It cannot be determined.
C) No
Question
At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 750 milliliters of water. The technician dispenses 38 samples of water and determines the volume of
Each sample. The 38 samples have a mean volume of <strong>At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 750 milliliters of water. The technician dispenses 38 samples of water and determines the volume of Each sample. The 38 samples have a mean volume of   . The machine is out of Calibration if the mean volume differs from 750 mL. The technician wants to perform a hypothesis test to determine whether the machine is out of calibration. The Standard deviation of the dispensed volume is known to be   Compute the value of the test statistic.</strong> A) 3.00 B) 1.33 C) 0.18 D) 0.22 <div style=padding-top: 35px> . The machine is out of
Calibration if the mean volume differs from 750 mL.
The technician wants to perform a hypothesis test to determine whether the machine is out of calibration. The
Standard deviation of the dispensed volume is known to be <strong>At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 750 milliliters of water. The technician dispenses 38 samples of water and determines the volume of Each sample. The 38 samples have a mean volume of   . The machine is out of Calibration if the mean volume differs from 750 mL. The technician wants to perform a hypothesis test to determine whether the machine is out of calibration. The Standard deviation of the dispensed volume is known to be   Compute the value of the test statistic.</strong> A) 3.00 B) 1.33 C) 0.18 D) 0.22 <div style=padding-top: 35px> Compute the value of the test statistic.

A) 3.00
B) 1.33
C) 0.18
D) 0.22
Question
The Golden Comet is a hybrid chicken that is prized for its high egg production rate and gentle disposition. According to recent studies, the mean rate of egg production for 1-year-old Golden
Comets is 5.6 eggs/week.
Sarah has 41 1-year-old hens that are fed exclusively on natural scratch feed: insects, seeds, and
Plants that the hens obtain as they range freely around the farm. Her hens exhibit a mean egg-laying
Rate of 5.9 eggs/day.
Sarah wants to determine whether the mean laying rate μ for her hens is higher than the mean rate for all
Golden Comets. Assume the population standard deviation to be <strong>The Golden Comet is a hybrid chicken that is prized for its high egg production rate and gentle disposition. According to recent studies, the mean rate of egg production for 1-year-old Golden Comets is 5.6 eggs/week. Sarah has 41 1-year-old hens that are fed exclusively on natural scratch feed: insects, seeds, and Plants that the hens obtain as they range freely around the farm. Her hens exhibit a mean egg-laying Rate of 5.9 eggs/day. Sarah wants to determine whether the mean laying rate μ for her hens is higher than the mean rate for all Golden Comets. Assume the population standard deviation to be   y. Compute the Value of the test statistic.</strong> A) 0.87 B) 0.18 C) 1.47 D) 1.13 <div style=padding-top: 35px> y. Compute the
Value of the test statistic.

A) 0.87
B) 0.18
C) 1.47
D) 1.13
Question
A test of H0:<strong>A test of H<sub>0</sub>: =59 versus H<sub>1</sub>:   59 is performed using a significance level of  =0.01 . The P-value is 0.115. If the true value of   is 59 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type II error B) Type I error C) Correct decision <div style=padding-top: 35px> =59 versus H1: <strong>A test of H<sub>0</sub>: =59 versus H<sub>1</sub>:   59 is performed using a significance level of  =0.01 . The P-value is 0.115. If the true value of   is 59 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type II error B) Type I error C) Correct decision <div style=padding-top: 35px> 59 is performed using a significance level of <strong>A test of H<sub>0</sub>: =59 versus H<sub>1</sub>:   59 is performed using a significance level of  =0.01 . The P-value is 0.115. If the true value of   is 59 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type II error B) Type I error C) Correct decision <div style=padding-top: 35px> =0.01 . The P-value is 0.115.
If the true value of <strong>A test of H<sub>0</sub>: =59 versus H<sub>1</sub>:   59 is performed using a significance level of  =0.01 . The P-value is 0.115. If the true value of   is 59 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type II error B) Type I error C) Correct decision <div style=padding-top: 35px> is 59 , does the conclusion result in a Type I error, a Type II error, or a correct decision?

A) Type II error
B) Type I error
C) Correct decision
Question
At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 1,000 milliliters of water. The technician dispenses 46 samples of water and determines the volume
Of each sample. The 46 samples have a mean volume of https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/<strong>At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 1,000 milliliters of water. The technician dispenses 46 samples of water and determines the volume Of each sample. The 46 samples have a mean volume of https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . The machine is out of Calibration if the mean volume differs from 1,000 mL. The technician wants to perform a hypothesis test to determine whether the machine is out of calibration. State the appropriate null and alternate hypotheses. </strong> A)   B)   C)   D)   <div style=padding-top: 35px> . The machine is out of
Calibration if the mean volume differs from 1,000 mL.
The technician wants to perform a hypothesis test to determine whether the machine is out of calibration.
State the appropriate null and alternate hypotheses.

A) <strong>At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 1,000 milliliters of water. The technician dispenses 46 samples of water and determines the volume Of each sample. The 46 samples have a mean volume of https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . The machine is out of Calibration if the mean volume differs from 1,000 mL. The technician wants to perform a hypothesis test to determine whether the machine is out of calibration. State the appropriate null and alternate hypotheses. </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 1,000 milliliters of water. The technician dispenses 46 samples of water and determines the volume Of each sample. The 46 samples have a mean volume of https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . The machine is out of Calibration if the mean volume differs from 1,000 mL. The technician wants to perform a hypothesis test to determine whether the machine is out of calibration. State the appropriate null and alternate hypotheses. </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 1,000 milliliters of water. The technician dispenses 46 samples of water and determines the volume Of each sample. The 46 samples have a mean volume of https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . The machine is out of Calibration if the mean volume differs from 1,000 mL. The technician wants to perform a hypothesis test to determine whether the machine is out of calibration. State the appropriate null and alternate hypotheses. </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 1,000 milliliters of water. The technician dispenses 46 samples of water and determines the volume Of each sample. The 46 samples have a mean volume of https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . The machine is out of Calibration if the mean volume differs from 1,000 mL. The technician wants to perform a hypothesis test to determine whether the machine is out of calibration. State the appropriate null and alternate hypotheses. </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
A sample of 39 students enroll in a program that claims to improve scores on the quantitative reasoning
portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the
program begins and again at the end to measure their improvement. The mean number of points improved was A sample of 39 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the program begins and again at the end to measure their improvement. The mean number of points improved was  =7. Assume the standard deviation is  =56 and let  be، the population mean number of points improved. To determine whether the program is effective, a test is made of the hypotheses   i). Compute the value of the test statistic. ii). Compute the P-value. iii). Do you reject H0 at the   level?<div style=padding-top: 35px> =7. Assume the standard deviation is A sample of 39 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the program begins and again at the end to measure their improvement. The mean number of points improved was  =7. Assume the standard deviation is  =56 and let  be، the population mean number of points improved. To determine whether the program is effective, a test is made of the hypotheses   i). Compute the value of the test statistic. ii). Compute the P-value. iii). Do you reject H0 at the   level?<div style=padding-top: 35px> =56 and let A sample of 39 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the program begins and again at the end to measure their improvement. The mean number of points improved was  =7. Assume the standard deviation is  =56 and let  be، the population mean number of points improved. To determine whether the program is effective, a test is made of the hypotheses   i). Compute the value of the test statistic. ii). Compute the P-value. iii). Do you reject H0 at the   level?<div style=padding-top: 35px> be، the population mean number of points improved. To determine whether the program is effective, a test is made of the hypotheses A sample of 39 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the program begins and again at the end to measure their improvement. The mean number of points improved was  =7. Assume the standard deviation is  =56 and let  be، the population mean number of points improved. To determine whether the program is effective, a test is made of the hypotheses   i). Compute the value of the test statistic. ii). Compute the P-value. iii). Do you reject H0 at the   level?<div style=padding-top: 35px>
i). Compute the value of the test statistic.
ii). Compute the P-value.
iii). Do you reject H0 at the A sample of 39 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the program begins and again at the end to measure their improvement. The mean number of points improved was  =7. Assume the standard deviation is  =56 and let  be، the population mean number of points improved. To determine whether the program is effective, a test is made of the hypotheses   i). Compute the value of the test statistic. ii). Compute the P-value. iii). Do you reject H0 at the   level?<div style=padding-top: 35px> level?
Question
A sample of 39 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the
Program begins and again at the end to measure their improvement. <strong>A sample of 39 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the Program begins and again at the end to measure their improvement.   Compute the P-value.</strong> A) 0.0305 B) 0.0076 C) 1.8735 D) 0.0153 <div style=padding-top: 35px> Compute the P-value.

A) 0.0305
B) 0.0076
C) 1.8735
D) 0.0153
Question
The following output from MINITAB presents the results of a hypothesis test. <strong>The following output from MINITAB presents the results of a hypothesis test.    Do you reject H<sub>0</sub> at the   level?</strong> A) No B) Yes C) There is not enough information to draw a conclusion. <div style=padding-top: 35px>

Do you reject H0 at the <strong>The following output from MINITAB presents the results of a hypothesis test.    Do you reject H<sub>0</sub> at the   level?</strong> A) No B) Yes C) There is not enough information to draw a conclusion. <div style=padding-top: 35px> level?

A) No
B) Yes
C) There is not enough information to draw a conclusion.
Question
The following output from MINITAB presents the results of a hypothesis test. <strong>The following output from MINITAB presents the results of a hypothesis test.   What is the value of the test statistic?</strong> A) 0.002009 B) 1.359737 C) -3.088977 D) 31.26 <div style=padding-top: 35px> What is the value of the test statistic?

A) 0.002009
B) 1.359737
C) -3.088977
D) 31.26
Question
Forty members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at the end to
Measure their improvement. <strong>Forty members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at the end to Measure their improvement.  </strong> A) Yes B) There is not enough information to draw a conclusion. C) No <div style=padding-top: 35px>

A) Yes
B) There is not enough information to draw a conclusion.
C) No
Question
According to a survey, the mean height for men is 68.6 inches. In a sample of 320 men between the ages of 60 and 69 , the mean height was <strong>According to a survey, the mean height for men is 68.6 inches. In a sample of 320 men between the ages of 60 and 69 , the mean height was   inches. Public health officials want to determine whether the mean height   for older men is less than the mean height of all adult men. Assuming the population standard deviation to be   inches, compute the value of the test statistic.</strong> A) 0.74 B) 429.95 C) -0.63 D) 0.63 <div style=padding-top: 35px> inches. Public health officials want to determine whether the mean height <strong>According to a survey, the mean height for men is 68.6 inches. In a sample of 320 men between the ages of 60 and 69 , the mean height was   inches. Public health officials want to determine whether the mean height   for older men is less than the mean height of all adult men. Assuming the population standard deviation to be   inches, compute the value of the test statistic.</strong> A) 0.74 B) 429.95 C) -0.63 D) 0.63 <div style=padding-top: 35px> for older men is less than the mean height of all adult men. Assuming the population standard deviation to be <strong>According to a survey, the mean height for men is 68.6 inches. In a sample of 320 men between the ages of 60 and 69 , the mean height was   inches. Public health officials want to determine whether the mean height   for older men is less than the mean height of all adult men. Assuming the population standard deviation to be   inches, compute the value of the test statistic.</strong> A) 0.74 B) 429.95 C) -0.63 D) 0.63 <div style=padding-top: 35px> inches, compute the value of the test statistic.

A) 0.74
B) 429.95
C) -0.63
D) 0.63
Question
Forty-three members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at
The end to measure their improvement. <strong>Forty-three members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at The end to measure their improvement.   Using technology, compute the P-value.</strong> A) 0.0994 B) 0.1987 C) 0.0497 D) 0.8461 <div style=padding-top: 35px> Using technology, compute the P-value.

A) 0.0994
B) 0.1987
C) 0.0497
D) 0.8461
Question
The following display from a TI-84 Plus calculator presents the results of a hypothesis test. <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test.   What is the value of the test statistic?</strong> A) -2.527972 B) 1.988528 C) 60 D) 57.40 <div style=padding-top: 35px> What is the value of the test statistic?

A) -2.527972
B) 1.988528
C) 60
D) 57.40
Question
The following display from a TI-84 Plus calculator presents the results of a hypothesis test. <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test.   What is the P-value?</strong> A) 54.89 B) 1.803583 C) 56 D) -1.291829 <div style=padding-top: 35px> What is the P-value?

A) 54.89
B) 1.803583
C) 56
D) -1.291829
Question
Forty-three members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at
The end to measure their improvement. <strong>Forty-three members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at The end to measure their improvement.   Compute the P-value.</strong> A) 0.0198 B) 0.0395 C) 0.0099 D) 1.7565 <div style=padding-top: 35px> Compute the P-value.

A) 0.0198
B) 0.0395
C) 0.0099
D) 1.7565
Question
The following display from a TI-84 Plus calculator presents the results of a hypothesis test. <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test.   What are the null and alternate hypotheses? </strong> A)   B)   C)   D)   <div style=padding-top: 35px> What are the null and alternate hypotheses?

A) <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test.   What are the null and alternate hypotheses? </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test.   What are the null and alternate hypotheses? </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test.   What are the null and alternate hypotheses? </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test.   What are the null and alternate hypotheses? </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
The following output from MINITAB presents the results of a hypothesis test. <strong>The following output from MINITAB presents the results of a hypothesis test.   What is the P-value?</strong> A) 1.968656 B) 0.014319 C) 46.10 D) 2.449164 <div style=padding-top: 35px> What is the P-value?

A) 1.968656
B) 0.014319
C) 46.10
D) 2.449164
Question
The following output from MINITAB presents the results of a hypothesis test. <strong>The following output from MINITAB presents the results of a hypothesis test.   What are the null and alternate hypotheses? </strong> A)   B)   C)   D)   <div style=padding-top: 35px> What are the null and alternate hypotheses?

A) <strong>The following output from MINITAB presents the results of a hypothesis test.   What are the null and alternate hypotheses? </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>The following output from MINITAB presents the results of a hypothesis test.   What are the null and alternate hypotheses? </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>The following output from MINITAB presents the results of a hypothesis test.   What are the null and alternate hypotheses? </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>The following output from MINITAB presents the results of a hypothesis test.   What are the null and alternate hypotheses? </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
<strong> </strong> A) Yes B) There is not enough information to draw a conclusion. C) No <div style=padding-top: 35px>

A) Yes
B) There is not enough information to draw a conclusion.
C) No
Question
Forty-six members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at the end to
Measure their improvement. <strong>Forty-six members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at the end to Measure their improvement.   Compute the value of the test statistic.</strong> A) 1.61 B) 12.36 C) 0.24 D) 0.0537 <div style=padding-top: 35px> Compute the value of the test statistic.

A) 1.61
B) 12.36
C) 0.24
D) 0.0537
Question
A sample of 43 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the
Program begins and again at the end to measure their improvement. <strong>A sample of 43 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the Program begins and again at the end to measure their improvement.   Using technology, compute the P-value.</strong> A) 0.039993052 B) 1.405165398 C) 0.019996526 D) 0.079986104 <div style=padding-top: 35px> Using technology, compute the P-value.

A) 0.039993052
B) 1.405165398
C) 0.019996526
D) 0.079986104
Question
A sample of 46 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the
Program begins and again at the end to measure their improvement.
The mean number of points improved was <strong>A sample of 46 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the Program begins and again at the end to measure their improvement. The mean number of points improved was   Assume the standard deviation is   and let   be The population mean number of points improved. To determine whether the program is effective, a Test is made of the hypotheses   versus   Compute the value of the test statistic.</strong> A) 0.28 B) 0.0307 C) 1.87 D) 11.80 <div style=padding-top: 35px> Assume the standard deviation is <strong>A sample of 46 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the Program begins and again at the end to measure their improvement. The mean number of points improved was   Assume the standard deviation is   and let   be The population mean number of points improved. To determine whether the program is effective, a Test is made of the hypotheses   versus   Compute the value of the test statistic.</strong> A) 0.28 B) 0.0307 C) 1.87 D) 11.80 <div style=padding-top: 35px> and let <strong>A sample of 46 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the Program begins and again at the end to measure their improvement. The mean number of points improved was   Assume the standard deviation is   and let   be The population mean number of points improved. To determine whether the program is effective, a Test is made of the hypotheses   versus   Compute the value of the test statistic.</strong> A) 0.28 B) 0.0307 C) 1.87 D) 11.80 <div style=padding-top: 35px> be
The population mean number of points improved. To determine whether the program is effective, a
Test is made of the hypotheses <strong>A sample of 46 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the Program begins and again at the end to measure their improvement. The mean number of points improved was   Assume the standard deviation is   and let   be The population mean number of points improved. To determine whether the program is effective, a Test is made of the hypotheses   versus   Compute the value of the test statistic.</strong> A) 0.28 B) 0.0307 C) 1.87 D) 11.80 <div style=padding-top: 35px> versus <strong>A sample of 46 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the Program begins and again at the end to measure their improvement. The mean number of points improved was   Assume the standard deviation is   and let   be The population mean number of points improved. To determine whether the program is effective, a Test is made of the hypotheses   versus   Compute the value of the test statistic.</strong> A) 0.28 B) 0.0307 C) 1.87 D) 11.80 <div style=padding-top: 35px> Compute the value of the test statistic.

A) 0.28
B) 0.0307
C) 1.87
D) 11.80
Question
Forty-three members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at the end to measure their improvement. The mean number of points improved (over the set of five games) was Forty-three members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at the end to measure their improvement. The mean number of points improved (over the set of five games) was   Assume the standard deviation is   and let \mu be the population mean number of points improved for the set of five games. To determine whether the program is effective, a test is made of the hypotheses   versus   i). Compute the value of the test statistic. ii). Compute the P-value. iii). Do you reject H<sub>0</sub> at the  =0.01 level?<div style=padding-top: 35px> Assume the standard deviation is Forty-three members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at the end to measure their improvement. The mean number of points improved (over the set of five games) was   Assume the standard deviation is   and let \mu be the population mean number of points improved for the set of five games. To determine whether the program is effective, a test is made of the hypotheses   versus   i). Compute the value of the test statistic. ii). Compute the P-value. iii). Do you reject H<sub>0</sub> at the  =0.01 level?<div style=padding-top: 35px> and let \mu be the population mean number of points improved for the set of five games. To determine whether the program is effective, a test is made of the hypotheses Forty-three members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at the end to measure their improvement. The mean number of points improved (over the set of five games) was   Assume the standard deviation is   and let \mu be the population mean number of points improved for the set of five games. To determine whether the program is effective, a test is made of the hypotheses   versus   i). Compute the value of the test statistic. ii). Compute the P-value. iii). Do you reject H<sub>0</sub> at the  =0.01 level?<div style=padding-top: 35px> versus Forty-three members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at the end to measure their improvement. The mean number of points improved (over the set of five games) was   Assume the standard deviation is   and let \mu be the population mean number of points improved for the set of five games. To determine whether the program is effective, a test is made of the hypotheses   versus   i). Compute the value of the test statistic. ii). Compute the P-value. iii). Do you reject H<sub>0</sub> at the  =0.01 level?<div style=padding-top: 35px>
i). Compute the value of the test statistic.
ii). Compute the P-value.
iii). Do you reject H0 at the Forty-three members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at the end to measure their improvement. The mean number of points improved (over the set of five games) was   Assume the standard deviation is   and let \mu be the population mean number of points improved for the set of five games. To determine whether the program is effective, a test is made of the hypotheses   versus   i). Compute the value of the test statistic. ii). Compute the P-value. iii). Do you reject H<sub>0</sub> at the  =0.01 level?<div style=padding-top: 35px> =0.01 level?
Question
A sample of 36 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the
Program begins and again at the end to measure their improvement. <strong>A sample of 36 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the Program begins and again at the end to measure their improvement.    </strong> A) No B) There is not enough information to draw a conclusion. C) Yes <div style=padding-top: 35px> <strong>A sample of 36 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the Program begins and again at the end to measure their improvement.    </strong> A) No B) There is not enough information to draw a conclusion. C) Yes <div style=padding-top: 35px>

A) No
B) There is not enough information to draw a conclusion.
C) Yes
Question
According to a survey, the mean height for men is 68.9 inches. In a sample of 320 men between the ages of 60 and 69 , the mean height was <strong>According to a survey, the mean height for men is 68.9 inches. In a sample of 320 men between the ages of 60 and 69 , the mean height was   inches. Public health officials want to determine whether the mean height   for older men is less than the mean height of all adult men. Assuming the population standard deviation to be   inches, compute the P-value.</strong> A) 0.0287 B) -1.9030 C) 0.0574 D) 0.9713 <div style=padding-top: 35px> inches. Public health officials want to determine whether the mean height <strong>According to a survey, the mean height for men is 68.9 inches. In a sample of 320 men between the ages of 60 and 69 , the mean height was   inches. Public health officials want to determine whether the mean height   for older men is less than the mean height of all adult men. Assuming the population standard deviation to be   inches, compute the P-value.</strong> A) 0.0287 B) -1.9030 C) 0.0574 D) 0.9713 <div style=padding-top: 35px> for older men is less than the mean height of all adult men. Assuming the population standard deviation to be <strong>According to a survey, the mean height for men is 68.9 inches. In a sample of 320 men between the ages of 60 and 69 , the mean height was   inches. Public health officials want to determine whether the mean height   for older men is less than the mean height of all adult men. Assuming the population standard deviation to be   inches, compute the P-value.</strong> A) 0.0287 B) -1.9030 C) 0.0574 D) 0.9713 <div style=padding-top: 35px> inches, compute the P-value.

A) 0.0287
B) -1.9030
C) 0.0574
D) 0.9713
Question
Find the P-value for the given test statistic t, sample size n, and alternate hypothesis H1. t=13.989, n=3, <strong>Find the P-value for the given test statistic t, sample size n, and alternate hypothesis H<sub>1</sub>. t=13.989, n=3,   </strong> A) 0.0025<P<0.005  B) 0.005<P<0.01  C) 0.002<P<0.005  D) 0.001<P<0.002 <div style=padding-top: 35px>

A) 0.0025
B) 0.005
C) 0.002
D) 0.001
Question
<strong> </strong> A) 0.25 < P < 0.4 B) 0.05 < P < 0.1 C) 0.025 < P < 0.05 D) 0.01 < P < 0.025 <div style=padding-top: 35px>

A) 0.25 < P < 0.4
B) 0.05 < P < 0.1
C) 0.025 < P < 0.05
D) 0.01 < P < 0.025
Question
<strong> </strong> A) 0.1355 B) 0.1398 C) 0.2710 D) 0.2796 <div style=padding-top: 35px>

A) 0.1355
B) 0.1398
C) 0.2710
D) 0.2796
Question
A market research firm reported that the mean annual earnings of all family practitioners in the United States was $180,612. A random sample of 56 family practitioners in New York that month had mean earnings of <strong>A market research firm reported that the mean annual earnings of all family practitioners in the United States was $180,612. A random sample of 56 family practitioners in New York that month had mean earnings of  =$190,854 with a standard deviation of $41,847. You wish to test whether family practitioners in New York make more than the national average. State the null and alternate hypotheses.</strong> A)   B)   C)   D)   <div style=padding-top: 35px> =$190,854 with a standard deviation of $41,847. You wish to test whether family practitioners in New York make more than the national average.
State the null and alternate hypotheses.

A) <strong>A market research firm reported that the mean annual earnings of all family practitioners in the United States was $180,612. A random sample of 56 family practitioners in New York that month had mean earnings of  =$190,854 with a standard deviation of $41,847. You wish to test whether family practitioners in New York make more than the national average. State the null and alternate hypotheses.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>A market research firm reported that the mean annual earnings of all family practitioners in the United States was $180,612. A random sample of 56 family practitioners in New York that month had mean earnings of  =$190,854 with a standard deviation of $41,847. You wish to test whether family practitioners in New York make more than the national average. State the null and alternate hypotheses.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>A market research firm reported that the mean annual earnings of all family practitioners in the United States was $180,612. A random sample of 56 family practitioners in New York that month had mean earnings of  =$190,854 with a standard deviation of $41,847. You wish to test whether family practitioners in New York make more than the national average. State the null and alternate hypotheses.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>A market research firm reported that the mean annual earnings of all family practitioners in the United States was $180,612. A random sample of 56 family practitioners in New York that month had mean earnings of  =$190,854 with a standard deviation of $41,847. You wish to test whether family practitioners in New York make more than the national average. State the null and alternate hypotheses.</strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
A market research firm reported that the mean annual earnings of all family practitioners in the United States was $179,574. A random sample of 38 family practitioners in New York that month
Had mean earnings of <strong>A market research firm reported that the mean annual earnings of all family practitioners in the United States was $179,574. A random sample of 38 family practitioners in New York that month Had mean earnings of    with a standard deviation of $35,113. You wish to test whether Family practitioners in New York make more than the national average. State a conclusion regarding H<sub>0</sub>. Use the   level of significance.</strong> A) Do not reject H<sub>0</sub>: there is insufficient evidence to conclude that the mean annual earnings are greater than the national average. B) Reject H<sub>0</sub> : the mean annual earnings appear to be greater than the national average. C) There is not enough information to draw a conclusion. <div style=padding-top: 35px> with a standard deviation of $35,113. You wish to test whether Family practitioners in New York make more than the national average. State a conclusion regarding H0. Use the <strong>A market research firm reported that the mean annual earnings of all family practitioners in the United States was $179,574. A random sample of 38 family practitioners in New York that month Had mean earnings of    with a standard deviation of $35,113. You wish to test whether Family practitioners in New York make more than the national average. State a conclusion regarding H<sub>0</sub>. Use the   level of significance.</strong> A) Do not reject H<sub>0</sub>: there is insufficient evidence to conclude that the mean annual earnings are greater than the national average. B) Reject H<sub>0</sub> : the mean annual earnings appear to be greater than the national average. C) There is not enough information to draw a conclusion. <div style=padding-top: 35px> level of significance.

A) Do not reject H0: there is insufficient evidence to conclude that the mean annual earnings are greater than the national average.
B) Reject H0 : the mean annual earnings appear to be greater than the national average.
C) There is not enough information to draw a conclusion.
Question
The following prices, in dollars, of 7.5-cubic-foot refrigerators were recorded from a random sample. <strong>The following prices, in dollars, of 7.5-cubic-foot refrigerators were recorded from a random sample.   A consumer organization reports that the mean price of 7.5-cubic-foot refrigerators is greater than $300. Do the data provide convincing evidence of this claim? Use the   level of significance and assume the Population is normally distributed.</strong> A) Reject   . There is sufficient evidence to conclude that the mean price is greater than $300 B) Do not reject   There is not sufficient evidence to conclude that the mean price is greater than $300 C) There is not enough information to draw a conclusion. <div style=padding-top: 35px> A consumer organization reports that the mean price of 7.5-cubic-foot refrigerators is greater than $300. Do the data provide convincing evidence of this claim? Use the <strong>The following prices, in dollars, of 7.5-cubic-foot refrigerators were recorded from a random sample.   A consumer organization reports that the mean price of 7.5-cubic-foot refrigerators is greater than $300. Do the data provide convincing evidence of this claim? Use the   level of significance and assume the Population is normally distributed.</strong> A) Reject   . There is sufficient evidence to conclude that the mean price is greater than $300 B) Do not reject   There is not sufficient evidence to conclude that the mean price is greater than $300 C) There is not enough information to draw a conclusion. <div style=padding-top: 35px> level of significance and assume the
Population is normally distributed.

A) Reject <strong>The following prices, in dollars, of 7.5-cubic-foot refrigerators were recorded from a random sample.   A consumer organization reports that the mean price of 7.5-cubic-foot refrigerators is greater than $300. Do the data provide convincing evidence of this claim? Use the   level of significance and assume the Population is normally distributed.</strong> A) Reject   . There is sufficient evidence to conclude that the mean price is greater than $300 B) Do not reject   There is not sufficient evidence to conclude that the mean price is greater than $300 C) There is not enough information to draw a conclusion. <div style=padding-top: 35px> . There is sufficient evidence to conclude that the mean price is greater than $300
B) Do not reject <strong>The following prices, in dollars, of 7.5-cubic-foot refrigerators were recorded from a random sample.   A consumer organization reports that the mean price of 7.5-cubic-foot refrigerators is greater than $300. Do the data provide convincing evidence of this claim? Use the   level of significance and assume the Population is normally distributed.</strong> A) Reject   . There is sufficient evidence to conclude that the mean price is greater than $300 B) Do not reject   There is not sufficient evidence to conclude that the mean price is greater than $300 C) There is not enough information to draw a conclusion. <div style=padding-top: 35px>
There is not sufficient evidence to conclude that the mean price is greater than $300
C) There is not enough information to draw a conclusion.
Question
In a study to determine whether counseling could help people lose weight, a sample of people experienced a group-based behavioral intervention, which involved weekly meetings with a trained interventionist for a
Period of six months. The following data are numbers of pounds lost for 14 people. <strong>In a study to determine whether counseling could help people lose weight, a sample of people experienced a group-based behavioral intervention, which involved weekly meetings with a trained interventionist for a Period of six months. The following data are numbers of pounds lost for 14 people.   The following is a boxplot for these data. Is it reasonable to assume that the conditions for performing a Hypothesis test are satisfied?  </strong> A) Yes B) No <div style=padding-top: 35px> The following is a boxplot for these data. Is it reasonable to assume that the conditions for performing a
Hypothesis test are satisfied? <strong>In a study to determine whether counseling could help people lose weight, a sample of people experienced a group-based behavioral intervention, which involved weekly meetings with a trained interventionist for a Period of six months. The following data are numbers of pounds lost for 14 people.   The following is a boxplot for these data. Is it reasonable to assume that the conditions for performing a Hypothesis test are satisfied?  </strong> A) Yes B) No <div style=padding-top: 35px>

A) Yes
B) No
Question
A psychologist is designing an experiment in which rats will navigate a maze. Ten rats run the maze, and the time it takes for each to complete the maze is recorded. The results are as follows: <strong>A psychologist is designing an experiment in which rats will navigate a maze. Ten rats run the maze, and the time it takes for each to complete the maze is recorded. The results are as follows:   Following is a boxplot for the data. Is it reasonable to assume the conditions for performing a hypothesis test Are satisfied?  </strong> A) Yes B) No <div style=padding-top: 35px> Following is a boxplot for the data. Is it reasonable to assume the conditions for performing a hypothesis test
Are satisfied? <strong>A psychologist is designing an experiment in which rats will navigate a maze. Ten rats run the maze, and the time it takes for each to complete the maze is recorded. The results are as follows:   Following is a boxplot for the data. Is it reasonable to assume the conditions for performing a hypothesis test Are satisfied?  </strong> A) Yes B) No <div style=padding-top: 35px>

A) Yes
B) No
Question
<strong> </strong> A) -1.771, 1.771 B) -1.761, 1.761 C) -1.282, 1.282 D) -1.350, 1.350 <div style=padding-top: 35px>

A) -1.771, 1.771
B) -1.761, 1.761
C) -1.282, 1.282
D) -1.350, 1.350
Question
The mean annual tuition and fees for a sample of 8 private colleges was $33,700 with a standard deviation of $5,800. A dotplot shows that it is reasonable to assume that the population is
Approximately normal. You wish to test whether the mean tuition and fees for private colleges is
Different from $37,400.
Compute the value of the test statistic and state the number of degrees of freedom.

A) -1.804; 7 degrees of freedom
B) -1.804; 8 degrees of freedom
C) -0.638; 8 degrees of freedom
D) -0.638; 7 degrees of freedom
Question
A market research firm reported that the mean annual earnings of all family practitioners in the United States was $178,695. A random sample of 53 family practitioners in New York that month
Had mean earnings of <strong>A market research firm reported that the mean annual earnings of all family practitioners in the United States was $178,695. A random sample of 53 family practitioners in New York that month Had mean earnings of   with a standard deviation of $35,332. You wish to test whether Family practitioners in New York make more than the national average. Compute the value of the test statistic and state the number of degrees of freedom.</strong> A) 3.785; 53 degrees of freedom B) 0.010; 52 degrees of freedom C) 0.010; 53 degrees of freedom D) 3.785; 52 degrees of freedom <div style=padding-top: 35px> with a standard deviation of $35,332. You wish to test whether
Family practitioners in New York make more than the national average.
Compute the value of the test statistic and state the number of degrees of freedom.

A) 3.785; 53 degrees of freedom
B) 0.010; 52 degrees of freedom
C) 0.010; 53 degrees of freedom
D) 3.785; 52 degrees of freedom
Question
A market research firm reported that the mean annual earnings of all family practitioners in the
United States was $178,011. A random sample of 38 family practitioners in New York that month
had mean earnings of A market research firm reported that the mean annual earnings of all family practitioners in the United States was $178,011. A random sample of 38 family practitioners in New York that month had mean earnings of   with a standard deviation of $35,332. You wish to test whether family practitioners in New York make more than the national average. i). State the null and alternate hypotheses. ii). Compute the value of the test statistic and state the number of degrees of freedom. iii). State a conclusion regarding H0 . Use the  =0.1 level of significance.<div style=padding-top: 35px> with a standard deviation of $35,332. You wish to test whether
family practitioners in New York make more than the national average.
i). State the null and alternate hypotheses.
ii). Compute the value of the test statistic and state the number of degrees of freedom.
iii). State a conclusion regarding H0 . Use the A market research firm reported that the mean annual earnings of all family practitioners in the United States was $178,011. A random sample of 38 family practitioners in New York that month had mean earnings of   with a standard deviation of $35,332. You wish to test whether family practitioners in New York make more than the national average. i). State the null and alternate hypotheses. ii). Compute the value of the test statistic and state the number of degrees of freedom. iii). State a conclusion regarding H0 . Use the  =0.1 level of significance.<div style=padding-top: 35px> =0.1 level of significance.
Question
In an attempt to increase business on Monday nights, a restaurant offers a free dessert with every dinner order. Before the offer, the mean number of dinner customers on Monday was 150. Following are the numbers of
Diners on a random sample of Mondays while the offer was in effect. <strong>In an attempt to increase business on Monday nights, a restaurant offers a free dessert with every dinner order. Before the offer, the mean number of dinner customers on Monday was 150. Following are the numbers of Diners on a random sample of Mondays while the offer was in effect.   Can you conclude that the mean number of diners increased while the offer was in effect? Use the α = Level of significance and assume the population is normally distributed.</strong> A) Reject   . There is sufficient evidence to conclude that the mean number of diners increased While the offer was in effect. B) Do not reject   . There is insufficient evidence to conclude that the mean number of diners Increased while the offer was in effect. C) There is not enough information to draw a conclusion. <div style=padding-top: 35px> Can you conclude that the mean number of diners increased while the offer was in effect? Use the α =
Level of significance and assume the population is normally distributed.

A) Reject <strong>In an attempt to increase business on Monday nights, a restaurant offers a free dessert with every dinner order. Before the offer, the mean number of dinner customers on Monday was 150. Following are the numbers of Diners on a random sample of Mondays while the offer was in effect.   Can you conclude that the mean number of diners increased while the offer was in effect? Use the α = Level of significance and assume the population is normally distributed.</strong> A) Reject   . There is sufficient evidence to conclude that the mean number of diners increased While the offer was in effect. B) Do not reject   . There is insufficient evidence to conclude that the mean number of diners Increased while the offer was in effect. C) There is not enough information to draw a conclusion. <div style=padding-top: 35px> . There is sufficient evidence to conclude that the mean number of diners increased
While the offer was in effect.
B) Do not reject <strong>In an attempt to increase business on Monday nights, a restaurant offers a free dessert with every dinner order. Before the offer, the mean number of dinner customers on Monday was 150. Following are the numbers of Diners on a random sample of Mondays while the offer was in effect.   Can you conclude that the mean number of diners increased while the offer was in effect? Use the α = Level of significance and assume the population is normally distributed.</strong> A) Reject   . There is sufficient evidence to conclude that the mean number of diners increased While the offer was in effect. B) Do not reject   . There is insufficient evidence to conclude that the mean number of diners Increased while the offer was in effect. C) There is not enough information to draw a conclusion. <div style=padding-top: 35px> . There is insufficient evidence to conclude that the mean number of diners
Increased while the offer was in effect.
C) There is not enough information to draw a conclusion.
Question
The mean annual tuition and fees for a sample of 12 private colleges was $40,500 with a standard deviation of $5,000 A dotplot shows that it is reasonable to assume that the population is
Approximately normal. You wish to test whether the mean tuition and fees for private colleges is
Different from $37,400. State a conclusion regarding H0 . Use the <strong>The mean annual tuition and fees for a sample of 12 private colleges was $40,500 with a standard deviation of $5,000 A dotplot shows that it is reasonable to assume that the population is Approximately normal. You wish to test whether the mean tuition and fees for private colleges is Different from $37,400. State a conclusion regarding H<sub>0</sub> . Use the    level of significance.</strong> A) There is not enough information to draw a conclusion. B) Reject H<sub>0</sub>. The mean annual tuition and fees appears to be different from $37,400. C) Do not reject H<sub>0</sub>. <div style=padding-top: 35px> level of significance.

A) There is not enough information to draw a conclusion.
B) Reject H0. The mean annual tuition and fees appears to be different from $37,400.
C) Do not reject H0.
Question
<strong> </strong> A) -1.895 B) -2.447 C) -1.943 D) -1.645 <div style=padding-top: 35px>

A) -1.895
B) -2.447
C) -1.943
D) -1.645
Question
<strong> </strong> A) 0.2314 B) 0.1157 C) 0.2300 D) 0.1150 <div style=padding-top: 35px>

A) 0.2314
B) 0.1157
C) 0.2300
D) 0.1150
Question
A machine that fills beverage cans is supposed to put 12 ounces of beverage in each can. The amounts measured in a simple random sample of eight cans are: <strong>A machine that fills beverage cans is supposed to put 12 ounces of beverage in each can. The amounts measured in a simple random sample of eight cans are:   The following is a dotplot for these data. Is it reasonable to assume the conditions for performing a hypothesis Test are satisfied?  </strong> A) No B) Yes <div style=padding-top: 35px> The following is a dotplot for these data. Is it reasonable to assume the conditions for performing a hypothesis
Test are satisfied? <strong>A machine that fills beverage cans is supposed to put 12 ounces of beverage in each can. The amounts measured in a simple random sample of eight cans are:   The following is a dotplot for these data. Is it reasonable to assume the conditions for performing a hypothesis Test are satisfied?  </strong> A) No B) Yes <div style=padding-top: 35px>

A) No
B) Yes
Question
Following are outstanding credit card balances for a sample of 16 college seniors at a large university. <strong>Following are outstanding credit card balances for a sample of 16 college seniors at a large university.   The dotplot of this data is below. Is it reasonable to assume that the conditions for performing a hypothesis test are satisfied?  </strong> A) Yes B) No <div style=padding-top: 35px> The dotplot of this data is below. Is it reasonable to assume that the conditions for performing a hypothesis test are satisfied? <strong>Following are outstanding credit card balances for a sample of 16 college seniors at a large university.   The dotplot of this data is below. Is it reasonable to assume that the conditions for performing a hypothesis test are satisfied?  </strong> A) Yes B) No <div style=padding-top: 35px>

A) Yes
B) No
Question
The mean annual tuition and fees for a sample of 15 private colleges was $41,200 with a standard deviation of $5,300. A dotplot shows that it is reasonable to assume that the population is
Approximately normal. You wish to test whether the mean tuition and fees for private colleges is
Different from $38,000.
State the null and alternate hypotheses.

A) <strong>The mean annual tuition and fees for a sample of 15 private colleges was $41,200 with a standard deviation of $5,300. A dotplot shows that it is reasonable to assume that the population is Approximately normal. You wish to test whether the mean tuition and fees for private colleges is Different from $38,000. State the null and alternate hypotheses. </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>The mean annual tuition and fees for a sample of 15 private colleges was $41,200 with a standard deviation of $5,300. A dotplot shows that it is reasonable to assume that the population is Approximately normal. You wish to test whether the mean tuition and fees for private colleges is Different from $38,000. State the null and alternate hypotheses. </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>The mean annual tuition and fees for a sample of 15 private colleges was $41,200 with a standard deviation of $5,300. A dotplot shows that it is reasonable to assume that the population is Approximately normal. You wish to test whether the mean tuition and fees for private colleges is Different from $38,000. State the null and alternate hypotheses. </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>The mean annual tuition and fees for a sample of 15 private colleges was $41,200 with a standard deviation of $5,300. A dotplot shows that it is reasonable to assume that the population is Approximately normal. You wish to test whether the mean tuition and fees for private colleges is Different from $38,000. State the null and alternate hypotheses. </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
The mean annual tuition and fees for a sample of 11 private colleges was $26,500 with a standard
deviation of $6,000. A dotplot shows that it is reasonable to assume that the population is
approximately normal. You wish to test whether the mean tuition and fees for private colleges is
different from $31,000.
i). State the null and alternate hypotheses.
ii). Compute the value of the test statistic and state the number of degrees of freedom.
iii). State a conclusion regarding H0. Use the The mean annual tuition and fees for a sample of 11 private colleges was $26,500 with a standard deviation of $6,000. A dotplot shows that it is reasonable to assume that the population is approximately normal. You wish to test whether the mean tuition and fees for private colleges is different from $31,000. i). State the null and alternate hypotheses. ii). Compute the value of the test statistic and state the number of degrees of freedom. iii). State a conclusion regarding H0. Use the  =0.05 level of significance.<div style=padding-top: 35px> =0.05 level of significance.
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Deck 9: Hypothesis Testing
1
A test is made of <strong>A test is made of   . A sample of size n = 67 is drawn, and   . The population standard deviation is   . Compute the value of the test statistic z.</strong> A) 0.15 B) -1.02 C) -5.01 D) -0.12 . A sample of size n = 67 is drawn, and <strong>A test is made of   . A sample of size n = 67 is drawn, and   . The population standard deviation is   . Compute the value of the test statistic z.</strong> A) 0.15 B) -1.02 C) -5.01 D) -0.12 . The population standard deviation is <strong>A test is made of   . A sample of size n = 67 is drawn, and   . The population standard deviation is   . Compute the value of the test statistic z.</strong> A) 0.15 B) -1.02 C) -5.01 D) -0.12 . Compute the value of the test statistic z.

A) 0.15
B) -1.02
C) -5.01
D) -0.12
-1.02
2
A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 25 miles per gallon (mpg). A random sample of 57 cars are selected and the air filter of each is replaced with
A new one. Let <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 25 miles per gallon (mpg). A random sample of 57 cars are selected and the air filter of each is replaced with A new one. Let   be the population mean fuel efficiency score that would occur if every car's air Filter were replaced. The air filter change is deemed effective if   mpg. A test is made of   . Consider these possible conclusions: i. The air filter changes are effective. ii. The air filter changes are not effective. iii.. The air filter changes might not be effective. Which of the three conclusions is best if   is not rejected?</strong> A) ii B) i C) iii be the population mean fuel efficiency score that would occur if every car's air
Filter were replaced. The air filter change is deemed effective if <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 25 miles per gallon (mpg). A random sample of 57 cars are selected and the air filter of each is replaced with A new one. Let   be the population mean fuel efficiency score that would occur if every car's air Filter were replaced. The air filter change is deemed effective if   mpg. A test is made of   . Consider these possible conclusions: i. The air filter changes are effective. ii. The air filter changes are not effective. iii.. The air filter changes might not be effective. Which of the three conclusions is best if   is not rejected?</strong> A) ii B) i C) iii mpg. A test is made of <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 25 miles per gallon (mpg). A random sample of 57 cars are selected and the air filter of each is replaced with A new one. Let   be the population mean fuel efficiency score that would occur if every car's air Filter were replaced. The air filter change is deemed effective if   mpg. A test is made of   . Consider these possible conclusions: i. The air filter changes are effective. ii. The air filter changes are not effective. iii.. The air filter changes might not be effective. Which of the three conclusions is best if   is not rejected?</strong> A) ii B) i C) iii . Consider these possible conclusions:
i. The air filter changes are effective.
ii. The air filter changes are not effective.
iii.. The air filter changes might not be effective.
Which of the three conclusions is best if <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 25 miles per gallon (mpg). A random sample of 57 cars are selected and the air filter of each is replaced with A new one. Let   be the population mean fuel efficiency score that would occur if every car's air Filter were replaced. The air filter change is deemed effective if   mpg. A test is made of   . Consider these possible conclusions: i. The air filter changes are effective. ii. The air filter changes are not effective. iii.. The air filter changes might not be effective. Which of the three conclusions is best if   is not rejected?</strong> A) ii B) i C) iii is not rejected?

A) ii
B) i
C) iii
iii
3
A test is made of <strong>A test is made of   versus   . A sample of size n=60 is drawn, and   The population standard deviation is   . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.22,  not rejected B) 1.68,   rejected C) 0.22,   rejected D) 1.68,   not rejected versus <strong>A test is made of   versus   . A sample of size n=60 is drawn, and   The population standard deviation is   . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.22,  not rejected B) 1.68,   rejected C) 0.22,   rejected D) 1.68,   not rejected . A sample of size n=60 is drawn, and <strong>A test is made of   versus   . A sample of size n=60 is drawn, and   The population standard deviation is   . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.22,  not rejected B) 1.68,   rejected C) 0.22,   rejected D) 1.68,   not rejected The population standard deviation is <strong>A test is made of   versus   . A sample of size n=60 is drawn, and   The population standard deviation is   . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.22,  not rejected B) 1.68,   rejected C) 0.22,   rejected D) 1.68,   not rejected . Compute the value of the test statistic z and determine if <strong>A test is made of   versus   . A sample of size n=60 is drawn, and   The population standard deviation is   . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.22,  not rejected B) 1.68,   rejected C) 0.22,   rejected D) 1.68,   not rejected is rejected at the <strong>A test is made of   versus   . A sample of size n=60 is drawn, and   The population standard deviation is   . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.22,  not rejected B) 1.68,   rejected C) 0.22,   rejected D) 1.68,   not rejected level.

A) 0.22,<strong>A test is made of   versus   . A sample of size n=60 is drawn, and   The population standard deviation is   . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.22,  not rejected B) 1.68,   rejected C) 0.22,   rejected D) 1.68,   not rejected not rejected
B) 1.68, <strong>A test is made of   versus   . A sample of size n=60 is drawn, and   The population standard deviation is   . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.22,  not rejected B) 1.68,   rejected C) 0.22,   rejected D) 1.68,   not rejected rejected
C) 0.22, <strong>A test is made of   versus   . A sample of size n=60 is drawn, and   The population standard deviation is   . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.22,  not rejected B) 1.68,   rejected C) 0.22,   rejected D) 1.68,   not rejected rejected
D) 1.68, <strong>A test is made of   versus   . A sample of size n=60 is drawn, and   The population standard deviation is   . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.22,  not rejected B) 1.68,   rejected C) 0.22,   rejected D) 1.68,   not rejected not rejected
1.68, 1.68,   not rejected not rejected
4
A new organic pest control formula is being tested on potato plants to see whether it can reduce the level of potato beetle infestation. The mean number of beetles per untreated plant is 8. It is hoped That the new formula may reduce this infestation rate. State the appropriate null and alternate
Hypotheses.

A) <strong>A new organic pest control formula is being tested on potato plants to see whether it can reduce the level of potato beetle infestation. The mean number of beetles per untreated plant is 8. It is hoped That the new formula may reduce this infestation rate. State the appropriate null and alternate Hypotheses. </strong> A)   B)   C)   D)
B) <strong>A new organic pest control formula is being tested on potato plants to see whether it can reduce the level of potato beetle infestation. The mean number of beetles per untreated plant is 8. It is hoped That the new formula may reduce this infestation rate. State the appropriate null and alternate Hypotheses. </strong> A)   B)   C)   D)
C) <strong>A new organic pest control formula is being tested on potato plants to see whether it can reduce the level of potato beetle infestation. The mean number of beetles per untreated plant is 8. It is hoped That the new formula may reduce this infestation rate. State the appropriate null and alternate Hypotheses. </strong> A)   B)   C)   D)
D) <strong>A new organic pest control formula is being tested on potato plants to see whether it can reduce the level of potato beetle infestation. The mean number of beetles per untreated plant is 8. It is hoped That the new formula may reduce this infestation rate. State the appropriate null and alternate Hypotheses. </strong> A)   B)   C)   D)
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5
A garden supplier claims that its new variety of giant tomato produces fruit with a mean weight of 38 ounces. A test is made of <strong>A garden supplier claims that its new variety of giant tomato produces fruit with a mean weight of 38 ounces. A test is made of   versus   . The null hypothesis is rejected. State the Appropriate conclusion.</strong> A) There is not enough evidence to conclude that the mean weight is 38 ounces. B) The mean weight is equal to 38 ounces. C) There is not enough evidence to conclude that the mean weight differs from 38 ounces. D) The mean weight is not equal to 38 ounces. versus <strong>A garden supplier claims that its new variety of giant tomato produces fruit with a mean weight of 38 ounces. A test is made of   versus   . The null hypothesis is rejected. State the Appropriate conclusion.</strong> A) There is not enough evidence to conclude that the mean weight is 38 ounces. B) The mean weight is equal to 38 ounces. C) There is not enough evidence to conclude that the mean weight differs from 38 ounces. D) The mean weight is not equal to 38 ounces. . The null hypothesis is rejected. State the
Appropriate conclusion.

A) There is not enough evidence to conclude that the mean weight is 38 ounces.
B) The mean weight is equal to 38 ounces.
C) There is not enough evidence to conclude that the mean weight differs from 38 ounces.
D) The mean weight is not equal to 38 ounces.
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6
A garden supplier claims that its new variety of giant tomato produces fruit with a mean weight of 42 ounces. A test is made of <strong>A garden supplier claims that its new variety of giant tomato produces fruit with a mean weight of 42 ounces. A test is made of   . The null hypothesis is not rejected. State The appropriate conclusion.</strong> A) There is not enough evidence to conclude that the mean weight is 42 ounces. B) The mean weight is not equal to 42 ounces. C) The mean weight is equal to 42 ounces. D) There is not enough evidence to conclude that the mean weight differs from 42 ounces. . The null hypothesis is not rejected. State
The appropriate conclusion.

A) There is not enough evidence to conclude that the mean weight is 42 ounces.
B) The mean weight is not equal to 42 ounces.
C) The mean weight is equal to 42 ounces.
D) There is not enough evidence to conclude that the mean weight differs from 42 ounces.
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7
A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24 miles per gallon (mpg). A random sample of 44 cars are selected and the air filter of each is replaced with a new one. Let =<strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24 miles per gallon (mpg). A random sample of 44 cars are selected and the air filter of each is replaced with a new one. Let =  be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if  >24 mpg. A test is made of    versus https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . Consider these possible conclusions: i. The air filter changes are effective. ii. The air filter changes are not effective. Iii. The air filter changes might not be successful. Which of the three conclusions is best if   is rejected?</strong> A) iii B) ii C) i be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24 miles per gallon (mpg). A random sample of 44 cars are selected and the air filter of each is replaced with a new one. Let =  be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if  >24 mpg. A test is made of    versus https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . Consider these possible conclusions: i. The air filter changes are effective. ii. The air filter changes are not effective. Iii. The air filter changes might not be successful. Which of the three conclusions is best if   is rejected?</strong> A) iii B) ii C) i >24 mpg. A test is made of <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24 miles per gallon (mpg). A random sample of 44 cars are selected and the air filter of each is replaced with a new one. Let =  be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if  >24 mpg. A test is made of    versus https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . Consider these possible conclusions: i. The air filter changes are effective. ii. The air filter changes are not effective. Iii. The air filter changes might not be successful. Which of the three conclusions is best if   is rejected?</strong> A) iii B) ii C) i versus https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/<strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24 miles per gallon (mpg). A random sample of 44 cars are selected and the air filter of each is replaced with a new one. Let =  be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if  >24 mpg. A test is made of    versus https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . Consider these possible conclusions: i. The air filter changes are effective. ii. The air filter changes are not effective. Iii. The air filter changes might not be successful. Which of the three conclusions is best if   is rejected?</strong> A) iii B) ii C) i . Consider these possible conclusions:
i. The air filter changes are effective.
ii. The air filter changes are not effective.
Iii. The air filter changes might not be successful.
Which of the three conclusions is best if <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24 miles per gallon (mpg). A random sample of 44 cars are selected and the air filter of each is replaced with a new one. Let =  be the population mean fuel efficiency score that would occur if every car's air filter were replaced. The air filter change is deemed effective if  >24 mpg. A test is made of    versus https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . Consider these possible conclusions: i. The air filter changes are effective. ii. The air filter changes are not effective. Iii. The air filter changes might not be successful. Which of the three conclusions is best if   is rejected?</strong> A) iii B) ii C) i is rejected?

A) iii
B) ii
C) i
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8
A sample of 50 chewable vitamin tablets have a sample mean of 300 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the
Mean mass of vitamin C per tablet differs from 297 milligrams. State the appropriate null and
Alternate hypotheses.

A) <strong>A sample of 50 chewable vitamin tablets have a sample mean of 300 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the Mean mass of vitamin C per tablet differs from 297 milligrams. State the appropriate null and Alternate hypotheses. </strong> A)   B)   C)   D)
B) <strong>A sample of 50 chewable vitamin tablets have a sample mean of 300 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the Mean mass of vitamin C per tablet differs from 297 milligrams. State the appropriate null and Alternate hypotheses. </strong> A)   B)   C)   D)
C) <strong>A sample of 50 chewable vitamin tablets have a sample mean of 300 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the Mean mass of vitamin C per tablet differs from 297 milligrams. State the appropriate null and Alternate hypotheses. </strong> A)   B)   C)   D)
D) <strong>A sample of 50 chewable vitamin tablets have a sample mean of 300 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the Mean mass of vitamin C per tablet differs from 297 milligrams. State the appropriate null and Alternate hypotheses. </strong> A)   B)   C)   D)
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9
Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of H0: μ=48 versus H1:μ≠ 48. The true value of is 48 and H0 is not rejected.

A) Correct decision
B) Type I error
C) Type II error
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10
A grocery store owner claims that the mean amount spent per checkout is more than $74. A test is made of <strong>A grocery store owner claims that the mean amount spent per checkout is more than $74. A test is made of   . The null hypothesis is rejected. State the appropriate Conclusion.</strong> A) The mean checkout amount is greater than $74. B) There is not enough evidence to conclude that the mean checkout price is greater than $74. C) The mean checkout amount is less than or equal to $74. D) There is not enough evidence to conclude that the mean checkout price is less than or equal to $74. . The null hypothesis is rejected. State the appropriate
Conclusion.

A) The mean checkout amount is greater than $74.
B) There is not enough evidence to conclude that the mean checkout price is greater than $74.
C) The mean checkout amount is less than or equal to $74.
D) There is not enough evidence to conclude that the mean checkout price is less than or equal to $74.
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11
A sample of 60 chewable vitamin tablets have a sample mean of 275 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the
Mean mass of vitamin C per tablet exceeds 272 milligrams. State the appropriate null and alternate
Hypotheses.

A) <strong>A sample of 60 chewable vitamin tablets have a sample mean of 275 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the Mean mass of vitamin C per tablet exceeds 272 milligrams. State the appropriate null and alternate Hypotheses. </strong> A)   B)   C)   D)
B) <strong>A sample of 60 chewable vitamin tablets have a sample mean of 275 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the Mean mass of vitamin C per tablet exceeds 272 milligrams. State the appropriate null and alternate Hypotheses. </strong> A)   B)   C)   D)
C) <strong>A sample of 60 chewable vitamin tablets have a sample mean of 275 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the Mean mass of vitamin C per tablet exceeds 272 milligrams. State the appropriate null and alternate Hypotheses. </strong> A)   B)   C)   D)
D) <strong>A sample of 60 chewable vitamin tablets have a sample mean of 275 milligrams of vitamin C. Nutritionists want to perform a hypothesis test to determine how strong the evidence is that the Mean mass of vitamin C per tablet exceeds 272 milligrams. State the appropriate null and alternate Hypotheses. </strong> A)   B)   C)   D)
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12
A test of <strong>A test of   versus   is performed using a significance level of  =0.05. The value of the test statistic is z=-1.81. Is   rejected?</strong> A) Yes B) No C) It cannot be determined. versus <strong>A test of   versus   is performed using a significance level of  =0.05. The value of the test statistic is z=-1.81. Is   rejected?</strong> A) Yes B) No C) It cannot be determined. is performed using a significance level of <strong>A test of   versus   is performed using a significance level of  =0.05. The value of the test statistic is z=-1.81. Is   rejected?</strong> A) Yes B) No C) It cannot be determined. =0.05. The value of the test statistic is z=-1.81. Is <strong>A test of   versus   is performed using a significance level of  =0.05. The value of the test statistic is z=-1.81. Is   rejected?</strong> A) Yes B) No C) It cannot be determined. rejected?

A) Yes
B) No
C) It cannot be determined.
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13
A test is made of <strong>A test is made of   versus   . A sample of size n=76 is drawn, and   . The population standard deviation is https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.16, H<sub>0</sub> rejected B) 1.39, H<sub>0</sub> rejected C) 1.39, H<sub>0</sub> not rejected D) 0.16, H<sub>0</sub> not rejected versus <strong>A test is made of   versus   . A sample of size n=76 is drawn, and   . The population standard deviation is https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.16, H<sub>0</sub> rejected B) 1.39, H<sub>0</sub> rejected C) 1.39, H<sub>0</sub> not rejected D) 0.16, H<sub>0</sub> not rejected . A sample of size n=76 is drawn, and <strong>A test is made of   versus   . A sample of size n=76 is drawn, and   . The population standard deviation is https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.16, H<sub>0</sub> rejected B) 1.39, H<sub>0</sub> rejected C) 1.39, H<sub>0</sub> not rejected D) 0.16, H<sub>0</sub> not rejected . The population standard deviation is https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/<strong>A test is made of   versus   . A sample of size n=76 is drawn, and   . The population standard deviation is https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.16, H<sub>0</sub> rejected B) 1.39, H<sub>0</sub> rejected C) 1.39, H<sub>0</sub> not rejected D) 0.16, H<sub>0</sub> not rejected . Compute the value of the test statistic z and determine if <strong>A test is made of   versus   . A sample of size n=76 is drawn, and   . The population standard deviation is https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.16, H<sub>0</sub> rejected B) 1.39, H<sub>0</sub> rejected C) 1.39, H<sub>0</sub> not rejected D) 0.16, H<sub>0</sub> not rejected is rejected at the <strong>A test is made of   versus   . A sample of size n=76 is drawn, and   . The population standard deviation is https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . Compute the value of the test statistic z and determine if   is rejected at the   level.</strong> A) 0.16, H<sub>0</sub> rejected B) 1.39, H<sub>0</sub> rejected C) 1.39, H<sub>0</sub> not rejected D) 0.16, H<sub>0</sub> not rejected level.

A) 0.16, H0 rejected
B) 1.39, H0 rejected
C) 1.39, H0 not rejected
D) 0.16, H0 not rejected
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14
A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 23.4 miles per gallon (mpg). A random sample of 41 cars are selected and the air filter of each is replaced with
A new one. Let μ be the population mean fuel efficiency score that would occur if every car's air
Filter were replaced. The air filter change is deemed effective if <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 23.4 miles per gallon (mpg). A random sample of 41 cars are selected and the air filter of each is replaced with A new one. Let μ be the population mean fuel efficiency score that would occur if every car's air Filter were replaced. The air filter change is deemed effective if   mpg. A test is made of   Assume that the air filter changes are effective but the conclusion is reached that the changes might not be Effective. Which type of error, of any, has occurred?</strong> A) Type II B) No error - correct decision C) Type I D) Mechanical failure mpg. A test is made of <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 23.4 miles per gallon (mpg). A random sample of 41 cars are selected and the air filter of each is replaced with A new one. Let μ be the population mean fuel efficiency score that would occur if every car's air Filter were replaced. The air filter change is deemed effective if   mpg. A test is made of   Assume that the air filter changes are effective but the conclusion is reached that the changes might not be Effective. Which type of error, of any, has occurred?</strong> A) Type II B) No error - correct decision C) Type I D) Mechanical failure Assume that the air filter changes are effective but the conclusion is reached that the changes might not be
Effective. Which type of error, of any, has occurred?

A) Type II
B) No error - correct decision
C) Type I
D) Mechanical failure
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15
A test is made of <strong>A test is made of    versus    A sample of size n=67 is drawn, and   =45 . The population standard deviation is  =29 . Compute the value of the test statistic  </strong> A) 0.14 B) 1.13 C) 6.08 D) 0.87 versus <strong>A test is made of    versus    A sample of size n=67 is drawn, and   =45 . The population standard deviation is  =29 . Compute the value of the test statistic  </strong> A) 0.14 B) 1.13 C) 6.08 D) 0.87 A sample of size n=67 is drawn, and <strong>A test is made of    versus    A sample of size n=67 is drawn, and   =45 . The population standard deviation is  =29 . Compute the value of the test statistic  </strong> A) 0.14 B) 1.13 C) 6.08 D) 0.87 =45 . The population standard deviation is <strong>A test is made of    versus    A sample of size n=67 is drawn, and   =45 . The population standard deviation is  =29 . Compute the value of the test statistic  </strong> A) 0.14 B) 1.13 C) 6.08 D) 0.87 =29 . Compute the value of the test statistic <strong>A test is made of    versus    A sample of size n=67 is drawn, and   =45 . The population standard deviation is  =29 . Compute the value of the test statistic  </strong> A) 0.14 B) 1.13 C) 6.08 D) 0.87

A) 0.14
B) 1.13
C) 6.08
D) 0.87
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16
Determine whether the alternative hypothesis is left-tailed, right-tailed, or two-tailed. <strong>Determine whether the alternative hypothesis is left-tailed, right-tailed, or two-tailed.  </strong> A) two-tailed B) right-tailed C) left-tailed

A) two-tailed
B) right-tailed
C) left-tailed
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17
A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24.3 miles per gallon (mpg). A random sample of 43 cars are selected and the air filter of each is replaced with
A new one. Let μ be the population mean fuel efficiency score that would occur if every car's air
Filter were replaced. The air filter change is deemed effective if <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24.3 miles per gallon (mpg). A random sample of 43 cars are selected and the air filter of each is replaced with A new one. Let μ be the population mean fuel efficiency score that would occur if every car's air Filter were replaced. The air filter change is deemed effective if   . A test is made of   Assume that the air filter changes are not effective. Which type of error is impossible?</strong> A) Type I B) Type II . A test is made of <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 24.3 miles per gallon (mpg). A random sample of 43 cars are selected and the air filter of each is replaced with A new one. Let μ be the population mean fuel efficiency score that would occur if every car's air Filter were replaced. The air filter change is deemed effective if   . A test is made of   Assume that the air filter changes are not effective. Which type of error is impossible?</strong> A) Type I B) Type II Assume that the air filter changes are not effective. Which type of error is impossible?

A) Type I
B) Type II
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18
Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of H0:μ=62 versus H1:μ≠62
The true value of <strong>Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of H<sub>0</sub>:μ=62  versus H<sub>1</sub>:μ≠62 The true value of   is 64 and H<sub>0</sub>  is rejected.</strong> A) Type I error B) Type II error C) Correct decision is 64 and H0 is rejected.

A) Type I error
B) Type II error
C) Correct decision
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19
A grocery store owner claims that the mean amount spent per checkout is more than $85. A test is made of <strong>A grocery store owner claims that the mean amount spent per checkout is more than $85. A test is made of   . The null hypothesis is not rejected. State the appropriate Conclusion.</strong> A) The mean checkout amount is less than or equal to $85. B) There is not enough evidence to conclude that the mean checkout price is less than or equal to $85. C) The mean checkout amount is greater than $85. D) There is not enough evidence to conclude that the mean checkout price is greater than $85. . The null hypothesis is not rejected. State the appropriate
Conclusion.

A) The mean checkout amount is less than or equal to $85.
B) There is not enough evidence to conclude that the mean checkout price is less than or equal to $85.
C) The mean checkout amount is greater than $85.
D) There is not enough evidence to conclude that the mean checkout price is greater than $85.
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20
A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 25.2 miles per gallon (mpg). A random sample of 59 cars are selected and the air filter of each is replaced with
A new one. Let μ be the population mean fuel efficiency score that would occur if every car's air Filter were replaced. The air filter change is deemed effective if <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 25.2 miles per gallon (mpg). A random sample of 59 cars are selected and the air filter of each is replaced with A new one. Let μ be the population mean fuel efficiency score that would occur if every car's air Filter were replaced. The air filter change is deemed effective if   mpg. A test is made of   Assume that the air filter changes are effective. Which type of error is impossible?</strong> A) Type I B) Type II mpg. A test is made of <strong>A fleet of rental cars - all the same make, model, and year - has a mean fuel efficiency of 25.2 miles per gallon (mpg). A random sample of 59 cars are selected and the air filter of each is replaced with A new one. Let μ be the population mean fuel efficiency score that would occur if every car's air Filter were replaced. The air filter change is deemed effective if   mpg. A test is made of   Assume that the air filter changes are effective. Which type of error is impossible?</strong> A) Type I B) Type II Assume that the air filter changes are effective. Which type of error is impossible?

A) Type I
B) Type II
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21
A test of H0: <strong>A test of H<sub>0</sub>:  =57 versus H<sub>1</sub>:   57 is performed using a significance level of  :=0.05. The P-value is 0.138 . Is H<sub>0</sub> rejected?</strong> A) It cannot be determined. B) Yes C) No =57 versus H1: <strong>A test of H<sub>0</sub>:  =57 versus H<sub>1</sub>:   57 is performed using a significance level of  :=0.05. The P-value is 0.138 . Is H<sub>0</sub> rejected?</strong> A) It cannot be determined. B) Yes C) No 57 is performed using a significance level of <strong>A test of H<sub>0</sub>:  =57 versus H<sub>1</sub>:   57 is performed using a significance level of  :=0.05. The P-value is 0.138 . Is H<sub>0</sub> rejected?</strong> A) It cannot be determined. B) Yes C) No :=0.05. The P-value is 0.138 . Is H0 rejected?

A) It cannot be determined.
B) Yes
C) No
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22
<strong>   </strong> A) Type I error B) Type II error C) Correct decision <strong>   </strong> A) Type I error B) Type II error C) Correct decision

A) Type I error
B) Type II error
C) Correct decision
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23
Alice will perform a hypothesis test at the <strong>Alice will perform a hypothesis test at the  =0.05 level. Bob will perform the same test at the  = 0.01 level. If H<sub>0</sub> is true, who has the greater probability of making a type I error?</strong> A) Alice B) Bob C) Neither =0.05 level. Bob will perform the same test at the <strong>Alice will perform a hypothesis test at the  =0.05 level. Bob will perform the same test at the  = 0.01 level. If H<sub>0</sub> is true, who has the greater probability of making a type I error?</strong> A) Alice B) Bob C) Neither = 0.01 level. If H0 is true, who has the greater probability of making a type I error?

A) Alice
B) Bob
C) Neither
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24
<strong> </strong> A) Correct decision B) Type I error C) Type II error

A) Correct decision
B) Type I error
C) Type II error
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25
The Golden Comet is a hybrid chicken that is prized for its high egg production rate and gentle disposition. According to recent studies, the mean rate of egg production for 1-year-old Golden Comets is 5.1 eggs/week.
Sarah has 35 1-year-old hens that are fed exclusively on natural scratch feed: insects, seeds, and plants that the hens obtain as they range freely around the farm. Her hens exhibit a mean egg-laying rate of 5.4 eggs/day.
Sarah wants to determine whether the mean laying rate The Golden Comet is a hybrid chicken that is prized for its high egg production rate and gentle disposition. According to recent studies, the mean rate of egg production for 1-year-old Golden Comets is 5.1 eggs/week. Sarah has 35 1-year-old hens that are fed exclusively on natural scratch feed: insects, seeds, and plants that the hens obtain as they range freely around the farm. Her hens exhibit a mean egg-laying rate of 5.4 eggs/day. Sarah wants to determine whether the mean laying rate   for her hens is higher than the mean rate for all Golden Comets. Assume the population standard deviation to be   i. State the appropriate null and alternate hypotheses. ii. Compute the value of the test statistic. iii. State a conclusion. Use the   level of significance. for her hens is higher than the mean rate for all Golden Comets. Assume the population standard deviation to be The Golden Comet is a hybrid chicken that is prized for its high egg production rate and gentle disposition. According to recent studies, the mean rate of egg production for 1-year-old Golden Comets is 5.1 eggs/week. Sarah has 35 1-year-old hens that are fed exclusively on natural scratch feed: insects, seeds, and plants that the hens obtain as they range freely around the farm. Her hens exhibit a mean egg-laying rate of 5.4 eggs/day. Sarah wants to determine whether the mean laying rate   for her hens is higher than the mean rate for all Golden Comets. Assume the population standard deviation to be   i. State the appropriate null and alternate hypotheses. ii. Compute the value of the test statistic. iii. State a conclusion. Use the   level of significance.
i. State the appropriate null and alternate hypotheses.
ii. Compute the value of the test statistic.
iii. State a conclusion. Use the The Golden Comet is a hybrid chicken that is prized for its high egg production rate and gentle disposition. According to recent studies, the mean rate of egg production for 1-year-old Golden Comets is 5.1 eggs/week. Sarah has 35 1-year-old hens that are fed exclusively on natural scratch feed: insects, seeds, and plants that the hens obtain as they range freely around the farm. Her hens exhibit a mean egg-laying rate of 5.4 eggs/day. Sarah wants to determine whether the mean laying rate   for her hens is higher than the mean rate for all Golden Comets. Assume the population standard deviation to be   i. State the appropriate null and alternate hypotheses. ii. Compute the value of the test statistic. iii. State a conclusion. Use the   level of significance. level of significance.
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The Golden Comet is a hybrid chicken that is prized for its high egg production rate and gentle disposition. According to recent studies, the mean rate of egg production for 1-year-old Golden
Comets is 5.4 eggs/week.
Sarah has 46 1-year-old hens that are fed exclusively on natural scratch feed: insects, seeds, and
Plants that the hens obtain as they range freely around the farm. Her hens exhibit a mean egg-laying
Rate of 5.9 eggs/day.
Sarah wants to determine whether the mean laying rate <strong>The Golden Comet is a hybrid chicken that is prized for its high egg production rate and gentle disposition. According to recent studies, the mean rate of egg production for 1-year-old Golden Comets is 5.4 eggs/week. Sarah has 46 1-year-old hens that are fed exclusively on natural scratch feed: insects, seeds, and Plants that the hens obtain as they range freely around the farm. Her hens exhibit a mean egg-laying Rate of 5.9 eggs/day. Sarah wants to determine whether the mean laying rate   for her hens is higher than the mean rate for all Golden Comets. State the appropriate null and alternate hypotheses. </strong> A)   B)   C)   D)   for her hens is higher than the mean rate for all
Golden Comets. State the appropriate null and alternate hypotheses.

A) <strong>The Golden Comet is a hybrid chicken that is prized for its high egg production rate and gentle disposition. According to recent studies, the mean rate of egg production for 1-year-old Golden Comets is 5.4 eggs/week. Sarah has 46 1-year-old hens that are fed exclusively on natural scratch feed: insects, seeds, and Plants that the hens obtain as they range freely around the farm. Her hens exhibit a mean egg-laying Rate of 5.9 eggs/day. Sarah wants to determine whether the mean laying rate   for her hens is higher than the mean rate for all Golden Comets. State the appropriate null and alternate hypotheses. </strong> A)   B)   C)   D)
B) <strong>The Golden Comet is a hybrid chicken that is prized for its high egg production rate and gentle disposition. According to recent studies, the mean rate of egg production for 1-year-old Golden Comets is 5.4 eggs/week. Sarah has 46 1-year-old hens that are fed exclusively on natural scratch feed: insects, seeds, and Plants that the hens obtain as they range freely around the farm. Her hens exhibit a mean egg-laying Rate of 5.9 eggs/day. Sarah wants to determine whether the mean laying rate   for her hens is higher than the mean rate for all Golden Comets. State the appropriate null and alternate hypotheses. </strong> A)   B)   C)   D)
C) <strong>The Golden Comet is a hybrid chicken that is prized for its high egg production rate and gentle disposition. According to recent studies, the mean rate of egg production for 1-year-old Golden Comets is 5.4 eggs/week. Sarah has 46 1-year-old hens that are fed exclusively on natural scratch feed: insects, seeds, and Plants that the hens obtain as they range freely around the farm. Her hens exhibit a mean egg-laying Rate of 5.9 eggs/day. Sarah wants to determine whether the mean laying rate   for her hens is higher than the mean rate for all Golden Comets. State the appropriate null and alternate hypotheses. </strong> A)   B)   C)   D)
D) <strong>The Golden Comet is a hybrid chicken that is prized for its high egg production rate and gentle disposition. According to recent studies, the mean rate of egg production for 1-year-old Golden Comets is 5.4 eggs/week. Sarah has 46 1-year-old hens that are fed exclusively on natural scratch feed: insects, seeds, and Plants that the hens obtain as they range freely around the farm. Her hens exhibit a mean egg-laying Rate of 5.9 eggs/day. Sarah wants to determine whether the mean laying rate   for her hens is higher than the mean rate for all Golden Comets. State the appropriate null and alternate hypotheses. </strong> A)   B)   C)   D)
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If P=0.016, which of the following is the best conclusion?

A) If H0 is false, the probability of obtaining a test statistic as extreme as or more extreme than the one actually observed is 0.016.
B) If H0 is true, the probability of obtaining a test statistic as extreme as or more extreme than the one actually observed is 0.016.
C) The probability that H0 is true is 0.016.
D) The probability that H0 is false is 0.016 .
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A test of H0: <strong>A test of H<sub>0</sub>:  =59 versus H<sub>1</sub>:   59 is performed using a significance level of  =0.01 . The value of the test statistic is z=-2.66. If the true value of   is 55 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type I error B) Correct decision C) Type II error =59 versus H1: <strong>A test of H<sub>0</sub>:  =59 versus H<sub>1</sub>:   59 is performed using a significance level of  =0.01 . The value of the test statistic is z=-2.66. If the true value of   is 55 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type I error B) Correct decision C) Type II error 59 is performed using a significance level of <strong>A test of H<sub>0</sub>:  =59 versus H<sub>1</sub>:   59 is performed using a significance level of  =0.01 . The value of the test statistic is z=-2.66. If the true value of   is 55 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type I error B) Correct decision C) Type II error =0.01 . The value of the test statistic is z=-2.66.
If the true value of <strong>A test of H<sub>0</sub>:  =59 versus H<sub>1</sub>:   59 is performed using a significance level of  =0.01 . The value of the test statistic is z=-2.66. If the true value of   is 55 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type I error B) Correct decision C) Type II error is 55 , does the conclusion result in a Type I error, a Type II error, or a correct decision?

A) Type I error
B) Correct decision
C) Type II error
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29
Mercury is a heavy metal that can cause severe health problems in even small concentrations. Fish and shellfish efficiently concentrate mercury into their flesh, so it is important to monitor seafood for its mercury
Content.
An extensive study conducted in 1980 concluded that the mean mercury level in oysters from the White Bear
Estuary was 0.021 parts per million (ppm) with a standard deviation <strong>Mercury is a heavy metal that can cause severe health problems in even small concentrations. Fish and shellfish efficiently concentrate mercury into their flesh, so it is important to monitor seafood for its mercury Content. An extensive study conducted in 1980 concluded that the mean mercury level in oysters from the White Bear Estuary was 0.021 parts per million (ppm) with a standard deviation   In 2012, a Sample of 47 oysters from the same estuary exhibited a mean mercury concentration of 0.017 ppm. Can you conclude that the 2012 mercury concentration is lower than in 1980? Use the   level of Significance.</strong> A) No. There is insufficient evidence to conclude that the mercury concentration has decreased from 1980 to 2012. B) Yes. The mercury concentration appears to be lower in 2012. C) There is not enough information to reach a conclusion. In 2012, a
Sample of 47 oysters from the same estuary exhibited a mean mercury concentration of 0.017 ppm.
Can you conclude that the 2012 mercury concentration is lower than in 1980? Use the <strong>Mercury is a heavy metal that can cause severe health problems in even small concentrations. Fish and shellfish efficiently concentrate mercury into their flesh, so it is important to monitor seafood for its mercury Content. An extensive study conducted in 1980 concluded that the mean mercury level in oysters from the White Bear Estuary was 0.021 parts per million (ppm) with a standard deviation   In 2012, a Sample of 47 oysters from the same estuary exhibited a mean mercury concentration of 0.017 ppm. Can you conclude that the 2012 mercury concentration is lower than in 1980? Use the   level of Significance.</strong> A) No. There is insufficient evidence to conclude that the mercury concentration has decreased from 1980 to 2012. B) Yes. The mercury concentration appears to be lower in 2012. C) There is not enough information to reach a conclusion. level of
Significance.

A) No. There is insufficient evidence to conclude that the mercury concentration has decreased from 1980 to 2012.
B) Yes. The mercury concentration appears to be lower in 2012.
C) There is not enough information to reach a conclusion.
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30
A test of H0:<strong>A test of H<sub>0</sub>: =41 versus H<sub>1</sub>:   41 is performed using a significance level of  =0.05 . The value of the test statistic is z=-1.84. Is H0 rejected?</strong> A) No B) It cannot be determined. C) Yes =41 versus H1: <strong>A test of H<sub>0</sub>: =41 versus H<sub>1</sub>:   41 is performed using a significance level of  =0.05 . The value of the test statistic is z=-1.84. Is H0 rejected?</strong> A) No B) It cannot be determined. C) Yes 41 is performed using a significance level of <strong>A test of H<sub>0</sub>: =41 versus H<sub>1</sub>:   41 is performed using a significance level of  =0.05 . The value of the test statistic is z=-1.84. Is H0 rejected?</strong> A) No B) It cannot be determined. C) Yes =0.05 . The value of the test statistic is z=-1.84. Is H0 rejected?

A) No
B) It cannot be determined.
C) Yes
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31
At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver
500 milliliters of water. The technician dispenses 38 samples of water and determines the volume of
each sample. The 38 samples have a mean volume of At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 500 milliliters of water. The technician dispenses 38 samples of water and determines the volume of each sample. The 38 samples have a mean volume of   . The machine is out of calibration if the mean volume differs from 500 mL. The technician wants to perform a hypothesis test to determine whether the machine is out of calibration. The standard deviation of the dispensed volume is known to be   i). State the appropriate null and alternate hypotheses. ii). Compute the value of the test statistic. iii). State a conclusion. Use the   level of significance. . The machine is out of
calibration if the mean volume differs from 500 mL.
The technician wants to perform a hypothesis test to determine whether the machine is out of calibration. The
standard deviation of the dispensed volume is known to be At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 500 milliliters of water. The technician dispenses 38 samples of water and determines the volume of each sample. The 38 samples have a mean volume of   . The machine is out of calibration if the mean volume differs from 500 mL. The technician wants to perform a hypothesis test to determine whether the machine is out of calibration. The standard deviation of the dispensed volume is known to be   i). State the appropriate null and alternate hypotheses. ii). Compute the value of the test statistic. iii). State a conclusion. Use the   level of significance.
i). State the appropriate null and alternate hypotheses.
ii). Compute the value of the test statistic.
iii). State a conclusion. Use the At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 500 milliliters of water. The technician dispenses 38 samples of water and determines the volume of each sample. The 38 samples have a mean volume of   . The machine is out of calibration if the mean volume differs from 500 mL. The technician wants to perform a hypothesis test to determine whether the machine is out of calibration. The standard deviation of the dispensed volume is known to be   i). State the appropriate null and alternate hypotheses. ii). Compute the value of the test statistic. iii). State a conclusion. Use the   level of significance. level of significance.
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32
A test of <strong>A test of    versus    is performed using a significance level of  =0.01 . The value of the test statistic is z=-2.24. If the true value of   is 49 does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type II error B) Type I error C) Correct decision versus <strong>A test of    versus    is performed using a significance level of  =0.01 . The value of the test statistic is z=-2.24. If the true value of   is 49 does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type II error B) Type I error C) Correct decision is performed using a significance level of <strong>A test of    versus    is performed using a significance level of  =0.01 . The value of the test statistic is z=-2.24. If the true value of   is 49 does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type II error B) Type I error C) Correct decision =0.01 . The value of the test statistic is z=-2.24.
If the true value of <strong>A test of    versus    is performed using a significance level of  =0.01 . The value of the test statistic is z=-2.24. If the true value of   is 49 does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type II error B) Type I error C) Correct decision is 49 does the conclusion result in a Type I error, a Type II error, or a correct decision?

A) Type II error
B) Type I error
C) Correct decision
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33
A test of <strong>A test of   45 versus    is performed using a significance level of   =0.01. The value of the test statistic is z=-2.24. If the true value of   is 45 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type I error B) Correct decision C) Type II error 45 versus <strong>A test of   45 versus    is performed using a significance level of   =0.01. The value of the test statistic is z=-2.24. If the true value of   is 45 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type I error B) Correct decision C) Type II error is performed using a significance level of <strong>A test of   45 versus    is performed using a significance level of   =0.01. The value of the test statistic is z=-2.24. If the true value of   is 45 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type I error B) Correct decision C) Type II error =0.01. The value of the test statistic is z=-2.24.
If the true value of <strong>A test of   45 versus    is performed using a significance level of   =0.01. The value of the test statistic is z=-2.24. If the true value of   is 45 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type I error B) Correct decision C) Type II error is 45 , does the conclusion result in a Type I error, a Type II error, or a correct decision?

A) Type I error
B) Correct decision
C) Type II error
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A test of H0:<strong>A test of H<sub>0</sub>: =55 versus H<sub>1</sub>:   55 is performed using a significance level of   :=0.05 . The P-value is 0.048 . If the true value of  : is 59 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type I error B) Type II error C) Correct decision =55 versus H1: <strong>A test of H<sub>0</sub>: =55 versus H<sub>1</sub>:   55 is performed using a significance level of   :=0.05 . The P-value is 0.048 . If the true value of  : is 59 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type I error B) Type II error C) Correct decision 55 is performed using a significance level of <strong>A test of H<sub>0</sub>: =55 versus H<sub>1</sub>:   55 is performed using a significance level of   :=0.05 . The P-value is 0.048 . If the true value of  : is 59 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type I error B) Type II error C) Correct decision :=0.05 . The P-value is 0.048 .
If the true value of <strong>A test of H<sub>0</sub>: =55 versus H<sub>1</sub>:   55 is performed using a significance level of   :=0.05 . The P-value is 0.048 . If the true value of  : is 59 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type I error B) Type II error C) Correct decision : is 59 , does the conclusion result in a Type I error, a Type II error, or a correct decision?

A) Type I error
B) Type II error
C) Correct decision
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35
A test of H0: <strong>A test of H<sub>0</sub>:  =58 versus H<sub>1</sub>:   58 is performed using a significance level of  =0.05 . The value of the test statistic is z=-2.08. If the true value of  =: is 58 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Correct decision B) Type II error C) Type I error =58 versus H1: <strong>A test of H<sub>0</sub>:  =58 versus H<sub>1</sub>:   58 is performed using a significance level of  =0.05 . The value of the test statistic is z=-2.08. If the true value of  =: is 58 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Correct decision B) Type II error C) Type I error 58 is performed using a significance level of <strong>A test of H<sub>0</sub>:  =58 versus H<sub>1</sub>:   58 is performed using a significance level of  =0.05 . The value of the test statistic is z=-2.08. If the true value of  =: is 58 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Correct decision B) Type II error C) Type I error =0.05 . The value of the test statistic is z=-2.08.
If the true value of <strong>A test of H<sub>0</sub>:  =58 versus H<sub>1</sub>:   58 is performed using a significance level of  =0.05 . The value of the test statistic is z=-2.08. If the true value of  =: is 58 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Correct decision B) Type II error C) Type I error =: is 58 , does the conclusion result in a Type I error, a Type II error, or a correct decision?

A) Correct decision
B) Type II error
C) Type I error
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36
<strong> </strong> A) Yes B) It cannot be determined. C) No

A) Yes
B) It cannot be determined.
C) No
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37
At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 750 milliliters of water. The technician dispenses 38 samples of water and determines the volume of
Each sample. The 38 samples have a mean volume of <strong>At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 750 milliliters of water. The technician dispenses 38 samples of water and determines the volume of Each sample. The 38 samples have a mean volume of   . The machine is out of Calibration if the mean volume differs from 750 mL. The technician wants to perform a hypothesis test to determine whether the machine is out of calibration. The Standard deviation of the dispensed volume is known to be   Compute the value of the test statistic.</strong> A) 3.00 B) 1.33 C) 0.18 D) 0.22 . The machine is out of
Calibration if the mean volume differs from 750 mL.
The technician wants to perform a hypothesis test to determine whether the machine is out of calibration. The
Standard deviation of the dispensed volume is known to be <strong>At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 750 milliliters of water. The technician dispenses 38 samples of water and determines the volume of Each sample. The 38 samples have a mean volume of   . The machine is out of Calibration if the mean volume differs from 750 mL. The technician wants to perform a hypothesis test to determine whether the machine is out of calibration. The Standard deviation of the dispensed volume is known to be   Compute the value of the test statistic.</strong> A) 3.00 B) 1.33 C) 0.18 D) 0.22 Compute the value of the test statistic.

A) 3.00
B) 1.33
C) 0.18
D) 0.22
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38
The Golden Comet is a hybrid chicken that is prized for its high egg production rate and gentle disposition. According to recent studies, the mean rate of egg production for 1-year-old Golden
Comets is 5.6 eggs/week.
Sarah has 41 1-year-old hens that are fed exclusively on natural scratch feed: insects, seeds, and
Plants that the hens obtain as they range freely around the farm. Her hens exhibit a mean egg-laying
Rate of 5.9 eggs/day.
Sarah wants to determine whether the mean laying rate μ for her hens is higher than the mean rate for all
Golden Comets. Assume the population standard deviation to be <strong>The Golden Comet is a hybrid chicken that is prized for its high egg production rate and gentle disposition. According to recent studies, the mean rate of egg production for 1-year-old Golden Comets is 5.6 eggs/week. Sarah has 41 1-year-old hens that are fed exclusively on natural scratch feed: insects, seeds, and Plants that the hens obtain as they range freely around the farm. Her hens exhibit a mean egg-laying Rate of 5.9 eggs/day. Sarah wants to determine whether the mean laying rate μ for her hens is higher than the mean rate for all Golden Comets. Assume the population standard deviation to be   y. Compute the Value of the test statistic.</strong> A) 0.87 B) 0.18 C) 1.47 D) 1.13 y. Compute the
Value of the test statistic.

A) 0.87
B) 0.18
C) 1.47
D) 1.13
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39
A test of H0:<strong>A test of H<sub>0</sub>: =59 versus H<sub>1</sub>:   59 is performed using a significance level of  =0.01 . The P-value is 0.115. If the true value of   is 59 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type II error B) Type I error C) Correct decision =59 versus H1: <strong>A test of H<sub>0</sub>: =59 versus H<sub>1</sub>:   59 is performed using a significance level of  =0.01 . The P-value is 0.115. If the true value of   is 59 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type II error B) Type I error C) Correct decision 59 is performed using a significance level of <strong>A test of H<sub>0</sub>: =59 versus H<sub>1</sub>:   59 is performed using a significance level of  =0.01 . The P-value is 0.115. If the true value of   is 59 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type II error B) Type I error C) Correct decision =0.01 . The P-value is 0.115.
If the true value of <strong>A test of H<sub>0</sub>: =59 versus H<sub>1</sub>:   59 is performed using a significance level of  =0.01 . The P-value is 0.115. If the true value of   is 59 , does the conclusion result in a Type I error, a Type II error, or a correct decision?</strong> A) Type II error B) Type I error C) Correct decision is 59 , does the conclusion result in a Type I error, a Type II error, or a correct decision?

A) Type II error
B) Type I error
C) Correct decision
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40
At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 1,000 milliliters of water. The technician dispenses 46 samples of water and determines the volume
Of each sample. The 46 samples have a mean volume of https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/<strong>At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 1,000 milliliters of water. The technician dispenses 46 samples of water and determines the volume Of each sample. The 46 samples have a mean volume of https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . The machine is out of Calibration if the mean volume differs from 1,000 mL. The technician wants to perform a hypothesis test to determine whether the machine is out of calibration. State the appropriate null and alternate hypotheses. </strong> A)   B)   C)   D)   . The machine is out of
Calibration if the mean volume differs from 1,000 mL.
The technician wants to perform a hypothesis test to determine whether the machine is out of calibration.
State the appropriate null and alternate hypotheses.

A) <strong>At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 1,000 milliliters of water. The technician dispenses 46 samples of water and determines the volume Of each sample. The 46 samples have a mean volume of https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . The machine is out of Calibration if the mean volume differs from 1,000 mL. The technician wants to perform a hypothesis test to determine whether the machine is out of calibration. State the appropriate null and alternate hypotheses. </strong> A)   B)   C)   D)
B) <strong>At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 1,000 milliliters of water. The technician dispenses 46 samples of water and determines the volume Of each sample. The 46 samples have a mean volume of https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . The machine is out of Calibration if the mean volume differs from 1,000 mL. The technician wants to perform a hypothesis test to determine whether the machine is out of calibration. State the appropriate null and alternate hypotheses. </strong> A)   B)   C)   D)
C) <strong>At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 1,000 milliliters of water. The technician dispenses 46 samples of water and determines the volume Of each sample. The 46 samples have a mean volume of https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . The machine is out of Calibration if the mean volume differs from 1,000 mL. The technician wants to perform a hypothesis test to determine whether the machine is out of calibration. State the appropriate null and alternate hypotheses. </strong> A)   B)   C)   D)
D) <strong>At a water bottling facility, a technician is testing a bottle filling machine that is supposed to deliver 1,000 milliliters of water. The technician dispenses 46 samples of water and determines the volume Of each sample. The 46 samples have a mean volume of https://d2lvgg3v3hfg70.cloudfront.net/TB34225555/ . The machine is out of Calibration if the mean volume differs from 1,000 mL. The technician wants to perform a hypothesis test to determine whether the machine is out of calibration. State the appropriate null and alternate hypotheses. </strong> A)   B)   C)   D)
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41
A sample of 39 students enroll in a program that claims to improve scores on the quantitative reasoning
portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the
program begins and again at the end to measure their improvement. The mean number of points improved was A sample of 39 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the program begins and again at the end to measure their improvement. The mean number of points improved was  =7. Assume the standard deviation is  =56 and let  be، the population mean number of points improved. To determine whether the program is effective, a test is made of the hypotheses   i). Compute the value of the test statistic. ii). Compute the P-value. iii). Do you reject H0 at the   level?=7. Assume the standard deviation is A sample of 39 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the program begins and again at the end to measure their improvement. The mean number of points improved was  =7. Assume the standard deviation is  =56 and let  be، the population mean number of points improved. To determine whether the program is effective, a test is made of the hypotheses   i). Compute the value of the test statistic. ii). Compute the P-value. iii). Do you reject H0 at the   level?=56 and let A sample of 39 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the program begins and again at the end to measure their improvement. The mean number of points improved was  =7. Assume the standard deviation is  =56 and let  be، the population mean number of points improved. To determine whether the program is effective, a test is made of the hypotheses   i). Compute the value of the test statistic. ii). Compute the P-value. iii). Do you reject H0 at the   level?be، the population mean number of points improved. To determine whether the program is effective, a test is made of the hypotheses A sample of 39 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the program begins and again at the end to measure their improvement. The mean number of points improved was  =7. Assume the standard deviation is  =56 and let  be، the population mean number of points improved. To determine whether the program is effective, a test is made of the hypotheses   i). Compute the value of the test statistic. ii). Compute the P-value. iii). Do you reject H0 at the   level?
i). Compute the value of the test statistic.
ii). Compute the P-value.
iii). Do you reject H0 at the A sample of 39 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the program begins and again at the end to measure their improvement. The mean number of points improved was  =7. Assume the standard deviation is  =56 and let  be، the population mean number of points improved. To determine whether the program is effective, a test is made of the hypotheses   i). Compute the value of the test statistic. ii). Compute the P-value. iii). Do you reject H0 at the   level? level?
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42
A sample of 39 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the
Program begins and again at the end to measure their improvement. <strong>A sample of 39 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the Program begins and again at the end to measure their improvement.   Compute the P-value.</strong> A) 0.0305 B) 0.0076 C) 1.8735 D) 0.0153 Compute the P-value.

A) 0.0305
B) 0.0076
C) 1.8735
D) 0.0153
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43
The following output from MINITAB presents the results of a hypothesis test. <strong>The following output from MINITAB presents the results of a hypothesis test.    Do you reject H<sub>0</sub> at the   level?</strong> A) No B) Yes C) There is not enough information to draw a conclusion.

Do you reject H0 at the <strong>The following output from MINITAB presents the results of a hypothesis test.    Do you reject H<sub>0</sub> at the   level?</strong> A) No B) Yes C) There is not enough information to draw a conclusion. level?

A) No
B) Yes
C) There is not enough information to draw a conclusion.
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44
The following output from MINITAB presents the results of a hypothesis test. <strong>The following output from MINITAB presents the results of a hypothesis test.   What is the value of the test statistic?</strong> A) 0.002009 B) 1.359737 C) -3.088977 D) 31.26 What is the value of the test statistic?

A) 0.002009
B) 1.359737
C) -3.088977
D) 31.26
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45
Forty members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at the end to
Measure their improvement. <strong>Forty members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at the end to Measure their improvement.  </strong> A) Yes B) There is not enough information to draw a conclusion. C) No

A) Yes
B) There is not enough information to draw a conclusion.
C) No
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46
According to a survey, the mean height for men is 68.6 inches. In a sample of 320 men between the ages of 60 and 69 , the mean height was <strong>According to a survey, the mean height for men is 68.6 inches. In a sample of 320 men between the ages of 60 and 69 , the mean height was   inches. Public health officials want to determine whether the mean height   for older men is less than the mean height of all adult men. Assuming the population standard deviation to be   inches, compute the value of the test statistic.</strong> A) 0.74 B) 429.95 C) -0.63 D) 0.63 inches. Public health officials want to determine whether the mean height <strong>According to a survey, the mean height for men is 68.6 inches. In a sample of 320 men between the ages of 60 and 69 , the mean height was   inches. Public health officials want to determine whether the mean height   for older men is less than the mean height of all adult men. Assuming the population standard deviation to be   inches, compute the value of the test statistic.</strong> A) 0.74 B) 429.95 C) -0.63 D) 0.63 for older men is less than the mean height of all adult men. Assuming the population standard deviation to be <strong>According to a survey, the mean height for men is 68.6 inches. In a sample of 320 men between the ages of 60 and 69 , the mean height was   inches. Public health officials want to determine whether the mean height   for older men is less than the mean height of all adult men. Assuming the population standard deviation to be   inches, compute the value of the test statistic.</strong> A) 0.74 B) 429.95 C) -0.63 D) 0.63 inches, compute the value of the test statistic.

A) 0.74
B) 429.95
C) -0.63
D) 0.63
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47
Forty-three members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at
The end to measure their improvement. <strong>Forty-three members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at The end to measure their improvement.   Using technology, compute the P-value.</strong> A) 0.0994 B) 0.1987 C) 0.0497 D) 0.8461 Using technology, compute the P-value.

A) 0.0994
B) 0.1987
C) 0.0497
D) 0.8461
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48
The following display from a TI-84 Plus calculator presents the results of a hypothesis test. <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test.   What is the value of the test statistic?</strong> A) -2.527972 B) 1.988528 C) 60 D) 57.40 What is the value of the test statistic?

A) -2.527972
B) 1.988528
C) 60
D) 57.40
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49
The following display from a TI-84 Plus calculator presents the results of a hypothesis test. <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test.   What is the P-value?</strong> A) 54.89 B) 1.803583 C) 56 D) -1.291829 What is the P-value?

A) 54.89
B) 1.803583
C) 56
D) -1.291829
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50
Forty-three members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at
The end to measure their improvement. <strong>Forty-three members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at The end to measure their improvement.   Compute the P-value.</strong> A) 0.0198 B) 0.0395 C) 0.0099 D) 1.7565 Compute the P-value.

A) 0.0198
B) 0.0395
C) 0.0099
D) 1.7565
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51
The following display from a TI-84 Plus calculator presents the results of a hypothesis test. <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test.   What are the null and alternate hypotheses? </strong> A)   B)   C)   D)   What are the null and alternate hypotheses?

A) <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test.   What are the null and alternate hypotheses? </strong> A)   B)   C)   D)
B) <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test.   What are the null and alternate hypotheses? </strong> A)   B)   C)   D)
C) <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test.   What are the null and alternate hypotheses? </strong> A)   B)   C)   D)
D) <strong>The following display from a TI-84 Plus calculator presents the results of a hypothesis test.   What are the null and alternate hypotheses? </strong> A)   B)   C)   D)
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52
The following output from MINITAB presents the results of a hypothesis test. <strong>The following output from MINITAB presents the results of a hypothesis test.   What is the P-value?</strong> A) 1.968656 B) 0.014319 C) 46.10 D) 2.449164 What is the P-value?

A) 1.968656
B) 0.014319
C) 46.10
D) 2.449164
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53
The following output from MINITAB presents the results of a hypothesis test. <strong>The following output from MINITAB presents the results of a hypothesis test.   What are the null and alternate hypotheses? </strong> A)   B)   C)   D)   What are the null and alternate hypotheses?

A) <strong>The following output from MINITAB presents the results of a hypothesis test.   What are the null and alternate hypotheses? </strong> A)   B)   C)   D)
B) <strong>The following output from MINITAB presents the results of a hypothesis test.   What are the null and alternate hypotheses? </strong> A)   B)   C)   D)
C) <strong>The following output from MINITAB presents the results of a hypothesis test.   What are the null and alternate hypotheses? </strong> A)   B)   C)   D)
D) <strong>The following output from MINITAB presents the results of a hypothesis test.   What are the null and alternate hypotheses? </strong> A)   B)   C)   D)
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54
<strong> </strong> A) Yes B) There is not enough information to draw a conclusion. C) No

A) Yes
B) There is not enough information to draw a conclusion.
C) No
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55
Forty-six members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at the end to
Measure their improvement. <strong>Forty-six members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at the end to Measure their improvement.   Compute the value of the test statistic.</strong> A) 1.61 B) 12.36 C) 0.24 D) 0.0537 Compute the value of the test statistic.

A) 1.61
B) 12.36
C) 0.24
D) 0.0537
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56
A sample of 43 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the
Program begins and again at the end to measure their improvement. <strong>A sample of 43 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the Program begins and again at the end to measure their improvement.   Using technology, compute the P-value.</strong> A) 0.039993052 B) 1.405165398 C) 0.019996526 D) 0.079986104 Using technology, compute the P-value.

A) 0.039993052
B) 1.405165398
C) 0.019996526
D) 0.079986104
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57
A sample of 46 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the
Program begins and again at the end to measure their improvement.
The mean number of points improved was <strong>A sample of 46 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the Program begins and again at the end to measure their improvement. The mean number of points improved was   Assume the standard deviation is   and let   be The population mean number of points improved. To determine whether the program is effective, a Test is made of the hypotheses   versus   Compute the value of the test statistic.</strong> A) 0.28 B) 0.0307 C) 1.87 D) 11.80 Assume the standard deviation is <strong>A sample of 46 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the Program begins and again at the end to measure their improvement. The mean number of points improved was   Assume the standard deviation is   and let   be The population mean number of points improved. To determine whether the program is effective, a Test is made of the hypotheses   versus   Compute the value of the test statistic.</strong> A) 0.28 B) 0.0307 C) 1.87 D) 11.80 and let <strong>A sample of 46 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the Program begins and again at the end to measure their improvement. The mean number of points improved was   Assume the standard deviation is   and let   be The population mean number of points improved. To determine whether the program is effective, a Test is made of the hypotheses   versus   Compute the value of the test statistic.</strong> A) 0.28 B) 0.0307 C) 1.87 D) 11.80 be
The population mean number of points improved. To determine whether the program is effective, a
Test is made of the hypotheses <strong>A sample of 46 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the Program begins and again at the end to measure their improvement. The mean number of points improved was   Assume the standard deviation is   and let   be The population mean number of points improved. To determine whether the program is effective, a Test is made of the hypotheses   versus   Compute the value of the test statistic.</strong> A) 0.28 B) 0.0307 C) 1.87 D) 11.80 versus <strong>A sample of 46 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the Program begins and again at the end to measure their improvement. The mean number of points improved was   Assume the standard deviation is   and let   be The population mean number of points improved. To determine whether the program is effective, a Test is made of the hypotheses   versus   Compute the value of the test statistic.</strong> A) 0.28 B) 0.0307 C) 1.87 D) 11.80 Compute the value of the test statistic.

A) 0.28
B) 0.0307
C) 1.87
D) 11.80
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58
Forty-three members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at the end to measure their improvement. The mean number of points improved (over the set of five games) was Forty-three members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at the end to measure their improvement. The mean number of points improved (over the set of five games) was   Assume the standard deviation is   and let \mu be the population mean number of points improved for the set of five games. To determine whether the program is effective, a test is made of the hypotheses   versus   i). Compute the value of the test statistic. ii). Compute the P-value. iii). Do you reject H<sub>0</sub> at the  =0.01 level? Assume the standard deviation is Forty-three members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at the end to measure their improvement. The mean number of points improved (over the set of five games) was   Assume the standard deviation is   and let \mu be the population mean number of points improved for the set of five games. To determine whether the program is effective, a test is made of the hypotheses   versus   i). Compute the value of the test statistic. ii). Compute the P-value. iii). Do you reject H<sub>0</sub> at the  =0.01 level? and let \mu be the population mean number of points improved for the set of five games. To determine whether the program is effective, a test is made of the hypotheses Forty-three members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at the end to measure their improvement. The mean number of points improved (over the set of five games) was   Assume the standard deviation is   and let \mu be the population mean number of points improved for the set of five games. To determine whether the program is effective, a test is made of the hypotheses   versus   i). Compute the value of the test statistic. ii). Compute the P-value. iii). Do you reject H<sub>0</sub> at the  =0.01 level? versus Forty-three members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at the end to measure their improvement. The mean number of points improved (over the set of five games) was   Assume the standard deviation is   and let \mu be the population mean number of points improved for the set of five games. To determine whether the program is effective, a test is made of the hypotheses   versus   i). Compute the value of the test statistic. ii). Compute the P-value. iii). Do you reject H<sub>0</sub> at the  =0.01 level?
i). Compute the value of the test statistic.
ii). Compute the P-value.
iii). Do you reject H0 at the Forty-three members of a bowling league sign up for a program that claims to improve bowling scores. The participants bowl a set of five games before the program begins and a set of five games again at the end to measure their improvement. The mean number of points improved (over the set of five games) was   Assume the standard deviation is   and let \mu be the population mean number of points improved for the set of five games. To determine whether the program is effective, a test is made of the hypotheses   versus   i). Compute the value of the test statistic. ii). Compute the P-value. iii). Do you reject H<sub>0</sub> at the  =0.01 level?=0.01 level?
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59
A sample of 36 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the
Program begins and again at the end to measure their improvement. <strong>A sample of 36 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the Program begins and again at the end to measure their improvement.    </strong> A) No B) There is not enough information to draw a conclusion. C) Yes <strong>A sample of 36 students enroll in a program that claims to improve scores on the quantitative reasoning portion of the Graduate Record Examination (GRE). The participants take a mock GRE test before the Program begins and again at the end to measure their improvement.    </strong> A) No B) There is not enough information to draw a conclusion. C) Yes

A) No
B) There is not enough information to draw a conclusion.
C) Yes
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60
According to a survey, the mean height for men is 68.9 inches. In a sample of 320 men between the ages of 60 and 69 , the mean height was <strong>According to a survey, the mean height for men is 68.9 inches. In a sample of 320 men between the ages of 60 and 69 , the mean height was   inches. Public health officials want to determine whether the mean height   for older men is less than the mean height of all adult men. Assuming the population standard deviation to be   inches, compute the P-value.</strong> A) 0.0287 B) -1.9030 C) 0.0574 D) 0.9713 inches. Public health officials want to determine whether the mean height <strong>According to a survey, the mean height for men is 68.9 inches. In a sample of 320 men between the ages of 60 and 69 , the mean height was   inches. Public health officials want to determine whether the mean height   for older men is less than the mean height of all adult men. Assuming the population standard deviation to be   inches, compute the P-value.</strong> A) 0.0287 B) -1.9030 C) 0.0574 D) 0.9713 for older men is less than the mean height of all adult men. Assuming the population standard deviation to be <strong>According to a survey, the mean height for men is 68.9 inches. In a sample of 320 men between the ages of 60 and 69 , the mean height was   inches. Public health officials want to determine whether the mean height   for older men is less than the mean height of all adult men. Assuming the population standard deviation to be   inches, compute the P-value.</strong> A) 0.0287 B) -1.9030 C) 0.0574 D) 0.9713 inches, compute the P-value.

A) 0.0287
B) -1.9030
C) 0.0574
D) 0.9713
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61
Find the P-value for the given test statistic t, sample size n, and alternate hypothesis H1. t=13.989, n=3, <strong>Find the P-value for the given test statistic t, sample size n, and alternate hypothesis H<sub>1</sub>. t=13.989, n=3,   </strong> A) 0.0025<P<0.005  B) 0.005<P<0.01  C) 0.002<P<0.005  D) 0.001<P<0.002

A) 0.0025
B) 0.005
C) 0.002
D) 0.001
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62
<strong> </strong> A) 0.25 < P < 0.4 B) 0.05 < P < 0.1 C) 0.025 < P < 0.05 D) 0.01 < P < 0.025

A) 0.25 < P < 0.4
B) 0.05 < P < 0.1
C) 0.025 < P < 0.05
D) 0.01 < P < 0.025
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63
<strong> </strong> A) 0.1355 B) 0.1398 C) 0.2710 D) 0.2796

A) 0.1355
B) 0.1398
C) 0.2710
D) 0.2796
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64
A market research firm reported that the mean annual earnings of all family practitioners in the United States was $180,612. A random sample of 56 family practitioners in New York that month had mean earnings of <strong>A market research firm reported that the mean annual earnings of all family practitioners in the United States was $180,612. A random sample of 56 family practitioners in New York that month had mean earnings of  =$190,854 with a standard deviation of $41,847. You wish to test whether family practitioners in New York make more than the national average. State the null and alternate hypotheses.</strong> A)   B)   C)   D)   =$190,854 with a standard deviation of $41,847. You wish to test whether family practitioners in New York make more than the national average.
State the null and alternate hypotheses.

A) <strong>A market research firm reported that the mean annual earnings of all family practitioners in the United States was $180,612. A random sample of 56 family practitioners in New York that month had mean earnings of  =$190,854 with a standard deviation of $41,847. You wish to test whether family practitioners in New York make more than the national average. State the null and alternate hypotheses.</strong> A)   B)   C)   D)
B) <strong>A market research firm reported that the mean annual earnings of all family practitioners in the United States was $180,612. A random sample of 56 family practitioners in New York that month had mean earnings of  =$190,854 with a standard deviation of $41,847. You wish to test whether family practitioners in New York make more than the national average. State the null and alternate hypotheses.</strong> A)   B)   C)   D)
C) <strong>A market research firm reported that the mean annual earnings of all family practitioners in the United States was $180,612. A random sample of 56 family practitioners in New York that month had mean earnings of  =$190,854 with a standard deviation of $41,847. You wish to test whether family practitioners in New York make more than the national average. State the null and alternate hypotheses.</strong> A)   B)   C)   D)
D) <strong>A market research firm reported that the mean annual earnings of all family practitioners in the United States was $180,612. A random sample of 56 family practitioners in New York that month had mean earnings of  =$190,854 with a standard deviation of $41,847. You wish to test whether family practitioners in New York make more than the national average. State the null and alternate hypotheses.</strong> A)   B)   C)   D)
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65
A market research firm reported that the mean annual earnings of all family practitioners in the United States was $179,574. A random sample of 38 family practitioners in New York that month
Had mean earnings of <strong>A market research firm reported that the mean annual earnings of all family practitioners in the United States was $179,574. A random sample of 38 family practitioners in New York that month Had mean earnings of    with a standard deviation of $35,113. You wish to test whether Family practitioners in New York make more than the national average. State a conclusion regarding H<sub>0</sub>. Use the   level of significance.</strong> A) Do not reject H<sub>0</sub>: there is insufficient evidence to conclude that the mean annual earnings are greater than the national average. B) Reject H<sub>0</sub> : the mean annual earnings appear to be greater than the national average. C) There is not enough information to draw a conclusion. with a standard deviation of $35,113. You wish to test whether Family practitioners in New York make more than the national average. State a conclusion regarding H0. Use the <strong>A market research firm reported that the mean annual earnings of all family practitioners in the United States was $179,574. A random sample of 38 family practitioners in New York that month Had mean earnings of    with a standard deviation of $35,113. You wish to test whether Family practitioners in New York make more than the national average. State a conclusion regarding H<sub>0</sub>. Use the   level of significance.</strong> A) Do not reject H<sub>0</sub>: there is insufficient evidence to conclude that the mean annual earnings are greater than the national average. B) Reject H<sub>0</sub> : the mean annual earnings appear to be greater than the national average. C) There is not enough information to draw a conclusion. level of significance.

A) Do not reject H0: there is insufficient evidence to conclude that the mean annual earnings are greater than the national average.
B) Reject H0 : the mean annual earnings appear to be greater than the national average.
C) There is not enough information to draw a conclusion.
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66
The following prices, in dollars, of 7.5-cubic-foot refrigerators were recorded from a random sample. <strong>The following prices, in dollars, of 7.5-cubic-foot refrigerators were recorded from a random sample.   A consumer organization reports that the mean price of 7.5-cubic-foot refrigerators is greater than $300. Do the data provide convincing evidence of this claim? Use the   level of significance and assume the Population is normally distributed.</strong> A) Reject   . There is sufficient evidence to conclude that the mean price is greater than $300 B) Do not reject   There is not sufficient evidence to conclude that the mean price is greater than $300 C) There is not enough information to draw a conclusion. A consumer organization reports that the mean price of 7.5-cubic-foot refrigerators is greater than $300. Do the data provide convincing evidence of this claim? Use the <strong>The following prices, in dollars, of 7.5-cubic-foot refrigerators were recorded from a random sample.   A consumer organization reports that the mean price of 7.5-cubic-foot refrigerators is greater than $300. Do the data provide convincing evidence of this claim? Use the   level of significance and assume the Population is normally distributed.</strong> A) Reject   . There is sufficient evidence to conclude that the mean price is greater than $300 B) Do not reject   There is not sufficient evidence to conclude that the mean price is greater than $300 C) There is not enough information to draw a conclusion. level of significance and assume the
Population is normally distributed.

A) Reject <strong>The following prices, in dollars, of 7.5-cubic-foot refrigerators were recorded from a random sample.   A consumer organization reports that the mean price of 7.5-cubic-foot refrigerators is greater than $300. Do the data provide convincing evidence of this claim? Use the   level of significance and assume the Population is normally distributed.</strong> A) Reject   . There is sufficient evidence to conclude that the mean price is greater than $300 B) Do not reject   There is not sufficient evidence to conclude that the mean price is greater than $300 C) There is not enough information to draw a conclusion. . There is sufficient evidence to conclude that the mean price is greater than $300
B) Do not reject <strong>The following prices, in dollars, of 7.5-cubic-foot refrigerators were recorded from a random sample.   A consumer organization reports that the mean price of 7.5-cubic-foot refrigerators is greater than $300. Do the data provide convincing evidence of this claim? Use the   level of significance and assume the Population is normally distributed.</strong> A) Reject   . There is sufficient evidence to conclude that the mean price is greater than $300 B) Do not reject   There is not sufficient evidence to conclude that the mean price is greater than $300 C) There is not enough information to draw a conclusion.
There is not sufficient evidence to conclude that the mean price is greater than $300
C) There is not enough information to draw a conclusion.
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67
In a study to determine whether counseling could help people lose weight, a sample of people experienced a group-based behavioral intervention, which involved weekly meetings with a trained interventionist for a
Period of six months. The following data are numbers of pounds lost for 14 people. <strong>In a study to determine whether counseling could help people lose weight, a sample of people experienced a group-based behavioral intervention, which involved weekly meetings with a trained interventionist for a Period of six months. The following data are numbers of pounds lost for 14 people.   The following is a boxplot for these data. Is it reasonable to assume that the conditions for performing a Hypothesis test are satisfied?  </strong> A) Yes B) No The following is a boxplot for these data. Is it reasonable to assume that the conditions for performing a
Hypothesis test are satisfied? <strong>In a study to determine whether counseling could help people lose weight, a sample of people experienced a group-based behavioral intervention, which involved weekly meetings with a trained interventionist for a Period of six months. The following data are numbers of pounds lost for 14 people.   The following is a boxplot for these data. Is it reasonable to assume that the conditions for performing a Hypothesis test are satisfied?  </strong> A) Yes B) No

A) Yes
B) No
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68
A psychologist is designing an experiment in which rats will navigate a maze. Ten rats run the maze, and the time it takes for each to complete the maze is recorded. The results are as follows: <strong>A psychologist is designing an experiment in which rats will navigate a maze. Ten rats run the maze, and the time it takes for each to complete the maze is recorded. The results are as follows:   Following is a boxplot for the data. Is it reasonable to assume the conditions for performing a hypothesis test Are satisfied?  </strong> A) Yes B) No Following is a boxplot for the data. Is it reasonable to assume the conditions for performing a hypothesis test
Are satisfied? <strong>A psychologist is designing an experiment in which rats will navigate a maze. Ten rats run the maze, and the time it takes for each to complete the maze is recorded. The results are as follows:   Following is a boxplot for the data. Is it reasonable to assume the conditions for performing a hypothesis test Are satisfied?  </strong> A) Yes B) No

A) Yes
B) No
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69
<strong> </strong> A) -1.771, 1.771 B) -1.761, 1.761 C) -1.282, 1.282 D) -1.350, 1.350

A) -1.771, 1.771
B) -1.761, 1.761
C) -1.282, 1.282
D) -1.350, 1.350
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70
The mean annual tuition and fees for a sample of 8 private colleges was $33,700 with a standard deviation of $5,800. A dotplot shows that it is reasonable to assume that the population is
Approximately normal. You wish to test whether the mean tuition and fees for private colleges is
Different from $37,400.
Compute the value of the test statistic and state the number of degrees of freedom.

A) -1.804; 7 degrees of freedom
B) -1.804; 8 degrees of freedom
C) -0.638; 8 degrees of freedom
D) -0.638; 7 degrees of freedom
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71
A market research firm reported that the mean annual earnings of all family practitioners in the United States was $178,695. A random sample of 53 family practitioners in New York that month
Had mean earnings of <strong>A market research firm reported that the mean annual earnings of all family practitioners in the United States was $178,695. A random sample of 53 family practitioners in New York that month Had mean earnings of   with a standard deviation of $35,332. You wish to test whether Family practitioners in New York make more than the national average. Compute the value of the test statistic and state the number of degrees of freedom.</strong> A) 3.785; 53 degrees of freedom B) 0.010; 52 degrees of freedom C) 0.010; 53 degrees of freedom D) 3.785; 52 degrees of freedom with a standard deviation of $35,332. You wish to test whether
Family practitioners in New York make more than the national average.
Compute the value of the test statistic and state the number of degrees of freedom.

A) 3.785; 53 degrees of freedom
B) 0.010; 52 degrees of freedom
C) 0.010; 53 degrees of freedom
D) 3.785; 52 degrees of freedom
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72
A market research firm reported that the mean annual earnings of all family practitioners in the
United States was $178,011. A random sample of 38 family practitioners in New York that month
had mean earnings of A market research firm reported that the mean annual earnings of all family practitioners in the United States was $178,011. A random sample of 38 family practitioners in New York that month had mean earnings of   with a standard deviation of $35,332. You wish to test whether family practitioners in New York make more than the national average. i). State the null and alternate hypotheses. ii). Compute the value of the test statistic and state the number of degrees of freedom. iii). State a conclusion regarding H0 . Use the  =0.1 level of significance. with a standard deviation of $35,332. You wish to test whether
family practitioners in New York make more than the national average.
i). State the null and alternate hypotheses.
ii). Compute the value of the test statistic and state the number of degrees of freedom.
iii). State a conclusion regarding H0 . Use the A market research firm reported that the mean annual earnings of all family practitioners in the United States was $178,011. A random sample of 38 family practitioners in New York that month had mean earnings of   with a standard deviation of $35,332. You wish to test whether family practitioners in New York make more than the national average. i). State the null and alternate hypotheses. ii). Compute the value of the test statistic and state the number of degrees of freedom. iii). State a conclusion regarding H0 . Use the  =0.1 level of significance.=0.1 level of significance.
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73
In an attempt to increase business on Monday nights, a restaurant offers a free dessert with every dinner order. Before the offer, the mean number of dinner customers on Monday was 150. Following are the numbers of
Diners on a random sample of Mondays while the offer was in effect. <strong>In an attempt to increase business on Monday nights, a restaurant offers a free dessert with every dinner order. Before the offer, the mean number of dinner customers on Monday was 150. Following are the numbers of Diners on a random sample of Mondays while the offer was in effect.   Can you conclude that the mean number of diners increased while the offer was in effect? Use the α = Level of significance and assume the population is normally distributed.</strong> A) Reject   . There is sufficient evidence to conclude that the mean number of diners increased While the offer was in effect. B) Do not reject   . There is insufficient evidence to conclude that the mean number of diners Increased while the offer was in effect. C) There is not enough information to draw a conclusion. Can you conclude that the mean number of diners increased while the offer was in effect? Use the α =
Level of significance and assume the population is normally distributed.

A) Reject <strong>In an attempt to increase business on Monday nights, a restaurant offers a free dessert with every dinner order. Before the offer, the mean number of dinner customers on Monday was 150. Following are the numbers of Diners on a random sample of Mondays while the offer was in effect.   Can you conclude that the mean number of diners increased while the offer was in effect? Use the α = Level of significance and assume the population is normally distributed.</strong> A) Reject   . There is sufficient evidence to conclude that the mean number of diners increased While the offer was in effect. B) Do not reject   . There is insufficient evidence to conclude that the mean number of diners Increased while the offer was in effect. C) There is not enough information to draw a conclusion. . There is sufficient evidence to conclude that the mean number of diners increased
While the offer was in effect.
B) Do not reject <strong>In an attempt to increase business on Monday nights, a restaurant offers a free dessert with every dinner order. Before the offer, the mean number of dinner customers on Monday was 150. Following are the numbers of Diners on a random sample of Mondays while the offer was in effect.   Can you conclude that the mean number of diners increased while the offer was in effect? Use the α = Level of significance and assume the population is normally distributed.</strong> A) Reject   . There is sufficient evidence to conclude that the mean number of diners increased While the offer was in effect. B) Do not reject   . There is insufficient evidence to conclude that the mean number of diners Increased while the offer was in effect. C) There is not enough information to draw a conclusion. . There is insufficient evidence to conclude that the mean number of diners
Increased while the offer was in effect.
C) There is not enough information to draw a conclusion.
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74
The mean annual tuition and fees for a sample of 12 private colleges was $40,500 with a standard deviation of $5,000 A dotplot shows that it is reasonable to assume that the population is
Approximately normal. You wish to test whether the mean tuition and fees for private colleges is
Different from $37,400. State a conclusion regarding H0 . Use the <strong>The mean annual tuition and fees for a sample of 12 private colleges was $40,500 with a standard deviation of $5,000 A dotplot shows that it is reasonable to assume that the population is Approximately normal. You wish to test whether the mean tuition and fees for private colleges is Different from $37,400. State a conclusion regarding H<sub>0</sub> . Use the    level of significance.</strong> A) There is not enough information to draw a conclusion. B) Reject H<sub>0</sub>. The mean annual tuition and fees appears to be different from $37,400. C) Do not reject H<sub>0</sub>. level of significance.

A) There is not enough information to draw a conclusion.
B) Reject H0. The mean annual tuition and fees appears to be different from $37,400.
C) Do not reject H0.
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75
<strong> </strong> A) -1.895 B) -2.447 C) -1.943 D) -1.645

A) -1.895
B) -2.447
C) -1.943
D) -1.645
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76
<strong> </strong> A) 0.2314 B) 0.1157 C) 0.2300 D) 0.1150

A) 0.2314
B) 0.1157
C) 0.2300
D) 0.1150
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77
A machine that fills beverage cans is supposed to put 12 ounces of beverage in each can. The amounts measured in a simple random sample of eight cans are: <strong>A machine that fills beverage cans is supposed to put 12 ounces of beverage in each can. The amounts measured in a simple random sample of eight cans are:   The following is a dotplot for these data. Is it reasonable to assume the conditions for performing a hypothesis Test are satisfied?  </strong> A) No B) Yes The following is a dotplot for these data. Is it reasonable to assume the conditions for performing a hypothesis
Test are satisfied? <strong>A machine that fills beverage cans is supposed to put 12 ounces of beverage in each can. The amounts measured in a simple random sample of eight cans are:   The following is a dotplot for these data. Is it reasonable to assume the conditions for performing a hypothesis Test are satisfied?  </strong> A) No B) Yes

A) No
B) Yes
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78
Following are outstanding credit card balances for a sample of 16 college seniors at a large university. <strong>Following are outstanding credit card balances for a sample of 16 college seniors at a large university.   The dotplot of this data is below. Is it reasonable to assume that the conditions for performing a hypothesis test are satisfied?  </strong> A) Yes B) No The dotplot of this data is below. Is it reasonable to assume that the conditions for performing a hypothesis test are satisfied? <strong>Following are outstanding credit card balances for a sample of 16 college seniors at a large university.   The dotplot of this data is below. Is it reasonable to assume that the conditions for performing a hypothesis test are satisfied?  </strong> A) Yes B) No

A) Yes
B) No
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79
The mean annual tuition and fees for a sample of 15 private colleges was $41,200 with a standard deviation of $5,300. A dotplot shows that it is reasonable to assume that the population is
Approximately normal. You wish to test whether the mean tuition and fees for private colleges is
Different from $38,000.
State the null and alternate hypotheses.

A) <strong>The mean annual tuition and fees for a sample of 15 private colleges was $41,200 with a standard deviation of $5,300. A dotplot shows that it is reasonable to assume that the population is Approximately normal. You wish to test whether the mean tuition and fees for private colleges is Different from $38,000. State the null and alternate hypotheses. </strong> A)   B)   C)   D)
B) <strong>The mean annual tuition and fees for a sample of 15 private colleges was $41,200 with a standard deviation of $5,300. A dotplot shows that it is reasonable to assume that the population is Approximately normal. You wish to test whether the mean tuition and fees for private colleges is Different from $38,000. State the null and alternate hypotheses. </strong> A)   B)   C)   D)
C) <strong>The mean annual tuition and fees for a sample of 15 private colleges was $41,200 with a standard deviation of $5,300. A dotplot shows that it is reasonable to assume that the population is Approximately normal. You wish to test whether the mean tuition and fees for private colleges is Different from $38,000. State the null and alternate hypotheses. </strong> A)   B)   C)   D)
D) <strong>The mean annual tuition and fees for a sample of 15 private colleges was $41,200 with a standard deviation of $5,300. A dotplot shows that it is reasonable to assume that the population is Approximately normal. You wish to test whether the mean tuition and fees for private colleges is Different from $38,000. State the null and alternate hypotheses. </strong> A)   B)   C)   D)
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80
The mean annual tuition and fees for a sample of 11 private colleges was $26,500 with a standard
deviation of $6,000. A dotplot shows that it is reasonable to assume that the population is
approximately normal. You wish to test whether the mean tuition and fees for private colleges is
different from $31,000.
i). State the null and alternate hypotheses.
ii). Compute the value of the test statistic and state the number of degrees of freedom.
iii). State a conclusion regarding H0. Use the The mean annual tuition and fees for a sample of 11 private colleges was $26,500 with a standard deviation of $6,000. A dotplot shows that it is reasonable to assume that the population is approximately normal. You wish to test whether the mean tuition and fees for private colleges is different from $31,000. i). State the null and alternate hypotheses. ii). Compute the value of the test statistic and state the number of degrees of freedom. iii). State a conclusion regarding H0. Use the  =0.05 level of significance.=0.05 level of significance.
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