Deck 9: Hypothesis Tests

ملء الشاشة (f)
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سؤال
An assumption made about the value of a population parameter is called a

A)hypothesis
B)conclusion
C)confidence
D)significance
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سؤال
The sum of the values of α\alpha and β\beta

A)always add up to 1.0
B)always add up to 0.5
C)is the probability of Type II error
D)None of these alternatives is correct.
سؤال
What type of error occurs if you fail to reject H0 when,in fact,it is not true?

A)Type II
B)Type I
C)either Type I or Type II,depending on the level of significance
D)either Type I or Type II,depending on whether the test is one tail or two tail
سؤال
A Type II error is committed when

A)a true alternative hypothesis is mistakenly rejected
B)a true null hypothesis is mistakenly rejected
C)the sample size has been too small
D)not enough information has been available
سؤال
In hypothesis testing if the null hypothesis has been rejected when the alternative hypothesis has been true,

A)a Type I error has been committed
B)a Type II error has been committed
C)either a Type I or Type II error has been committed
D)the correct decision has been made
سؤال
The error of rejecting a true null hypothesis is

A)a Type I error
B)a Type II error
C)is the same as β\beta
D)committed when not enough information is available
سؤال
In hypothesis testing,the tentative assumption about the population parameter is

A)the alternative hypothesis
B)the null hypothesis
C)either the null or the alternative
D)None of these alternatives is correct.
سؤال
In hypothesis testing,

A)the smaller the Type I error,the smaller the Type II error will be
B)the smaller the Type I error,the larger the Type II error will be
C)Type II error will not be effected by Type I error
D)the sum of Type I and Ttype II errors must equal to 1
سؤال
The level of significance in hypothesis testing is the probability of

A)accepting a true null hypothesis
B)accepting a false null hypothesis
C)rejecting a true null hypothesis
D)None of these alternatives is correct.
سؤال
In hypothesis testing if the null hypothesis is rejected,

A)no conclusions can be drawn from the test
B)the alternative hypothesis is true
C)the data must have been accumulated incorrectly
D)the sample size has been too small
سؤال
The probability of making a Type II error is denoted by

A) α\alpha
B) β\beta
C)1 - α\alpha
D)1 - β\beta
سؤال
The probability of making a Type I error is denoted by

A) α\alpha
B) β\beta
C)1 - α\alpha
D)1 - β\beta
سؤال
The probability of committing a Type I error when the null hypothesis is true is

A)the confidence level
B) β\beta
C)greater than 1
D)the Level of Significance
سؤال
The level of significance

A)can be any positive value
B)can be any value
C)is (1 - confidence level)
D)can be any value between -1.96 to 1.96
سؤال
For a two-tail test,the p-value is the probability of obtaining a value for the test statistic as

A)likely as that provided by the sample
B)unlikely as that provided by the sample
C)likely as that provided by the population
D)unlikely as that provided by the population
سؤال
For a lower tail test,the p-value is the probability of obtaining a value for the test statistic

A)at least as small as that provided by the sample
B)at least as large as that provided by the sample
C)at least as small as that provided by the population
D)at least as large as that provided by the population.
سؤال
The power curve provides the probability of

A)correctly accepting the null hypothesis
B)incorrectly accepting the null hypothesis
C)correctly rejecting the alternative hypothesis
D)correctly rejecting the null hypothesis
سؤال
The p-value

A)is the same as the Z statistic
B)measures the number of standard deviations from the mean
C)is a distance
D)is a probability
سؤال
The level of significance is the

A)maximum allowable probability of Type II error
B)maximum allowable probability of Type I error
C)same as the confidence coefficient
D)same as the p-value
سؤال
The p-value is a probability that measures the support (or lack of support)for the

A)null hypothesis
B)alternative hypothesis
C)either the null or the alternative hypothesis
D)sample statistic
سؤال
In the hypothesis testing procedure, α\alpha is

A)the level of significance
B)the critical value
C)the confidence level
D)1 - level of significance
سؤال
If a hypothesis test leads to the rejection of the null hypothesis,

A)a Type II error must have been committed
B)a Type II error may have been committed
C)a Type I error must have been committed
D)a Type I error may have been committed
سؤال
If the level of significance of a hypothesis test is raised from .01 to .05,the probability of a Type II error

A)will also increase from .01 to .05
B)will not change
C)will decrease
D)will increase
سؤال
The p-value ranges between

A)zero and infinity
B)minus infinity to plus infinity
C)zero to one
D)-1 to +1
سؤال
For a two-tailed test at 86.12% confidence,Z =

A)1.96
B)1.48
C)1.09
D)0.86
سؤال
If a hypothesis is rejected at the 5% level of significance,it

A)will always be rejected at the 1% level
B)will always be accepted at the 1% level
C)will never be tested at the 1% level
D)may be rejected or not rejected at the 1% level
سؤال
Which of the following does not need to be known in order to compute the p-value?

A)knowledge of whether the test is one-tailed or two-tailed
B)the value of the test statistic
C)the level of significance
D)None of these alternatives is correct.
سؤال
Read the Z statistic from the normal distribution table and circle the correct answer.A one-tailed test (upper tail)at 87.7% confidence;Z =

A)1.54
B)1.96
C)1.645
D)1.16
سؤال
If a hypothesis is not rejected at the 5% level of significance,it

A)will also not be rejected at the 1% level
B)will always be rejected at the 1% level
C)will sometimes be rejected at the 1% level
D)None of these alternatives is correct.
سؤال
When the p-value is used for hypothesis testing,the null hypothesis is rejected if

A)p-value 

B) < p-value
C)p-value 

D)p-value = 1 -
سؤال
In a two-tailed hypothesis test situation,the test statistic is determined to be t = -2.692.The sample size has been 45.The p-value for this test is

A)-0.005
B)+0.005
C)-0.01
D)+0.01
سؤال
When the following hypotheses are being tested at a level of significance of α\alpha
H0: μ\mu  <strong>When the following hypotheses are being tested at a level of significance of  \alpha  H<sub>0</sub>:  \mu  500 H<sub>a</sub>:  \mu  < 500 The null hypothesis will be rejected if the p-value is</strong> A) \le\alpha  B)>  \alpha  C)>  \alpha /2 D) \le 1 -  \alpha /2 <div style=padding-top: 35px>  500
Ha: μ\mu < 500
The null hypothesis will be rejected if the p-value is

A) \leα\alpha
B)> α\alpha
C)> α\alpha /2
D) \le 1 - α\alpha /2
سؤال
For a one-tailed test (lower tail)at 93.7% confidence,Z =

A)-1.86
B)-1.53
C)-1.96
D)-1.645
سؤال
For a two-tailed test,a sample of 20 at 80% confidence,t =

A)1.328
B)2.539
C)1.325
D)2.528
سؤال
As the test statistic becomes larger,the p-value

A)gets smaller
B)becomes larger
C)stays the same,since the sample size has not been changed
D)becomes negative
سؤال
If a hypothesis is rejected at 95% confidence,it

A)will always be accepted at 90% confidence
B)will always be rejected at 90% confidence
C)will sometimes be rejected at 90% confidence
D)None of these alternatives is correct.
سؤال
If the probability of a Type I error ( α\alpha )is 0.05,then the probability of a Type II error ( β\beta )must be

A)0.05
B)0.95
C)0.025
D)None of these alternatives is correct.
سؤال
In order to test the following hypotheses at an α\alpha level of significance
H0: μ\mu  <strong>In order to test the following hypotheses at an  \alpha  level of significance H<sub>0</sub>:  \mu  800 H<sub>a</sub>:  \mu  > 800 The null hypothesis will be rejected if the test statistic Z is</strong> A) \ge Z \alpha  B)< Z \alpha  C)< -Z \alpha  D)=  \alpha  <div style=padding-top: 35px>  800
Ha: μ\mu > 800
The null hypothesis will be rejected if the test statistic Z is

A) \ge Z α\alpha
B)< Z α\alpha
C)< -Z α\alpha
D)= α\alpha
سؤال
In a lower one-tail hypothesis test situation,the p-value is determined to be 0.2.If the sample size for this test is 51,the t statistic has a value of

A)0.849
B)-0.849
C)1.299
D)-1.299
سؤال
For a lower bounds one-tailed test,the test statistic z is determined to be zero.The p-value for this test is

A)zero
B)-0.5
C)+0.5
D)1.00
سؤال
For a one-tailed hypothesis test (upper tail)the p-value is computed to be 0.034.If the test is being conducted at 95% confidence,the null hypothesis

A)could be rejected or not rejected depending on the sample size
B)could be rejected or not rejected depending on the value of the mean of the sample
C)is not rejected
D)is rejected
سؤال
In a one-tailed hypothesis test (lower tail)the test statistic is determined to be -2.The p-value for this test is

A)0.4772
B)0.0228
C)0.0056
D)0.5228
سؤال
In the past,75% of the tourists who visited Chattanooga went to see Rock City.The management of Rock City recently undertook an extensive promotional campaign.They are interested in determining whether the promotional campaign actually increased the proportion of tourists visiting Rock City.The correct set of hypotheses is

A)H0: P > 0.75 Ha: P \le 0.75
B)H0: P < 0.75 Ha: P \ge 0.75
C)H0: P \ge
0)75 Ha: P < 0.75
D)H0: P \le 0.75 Ha: P > 0.75
سؤال
For a one-tailed test (lower tail),a sample size of 10 at 90% confidence,t =

A)1.383
B)2.821
C)-1.383
D)-2.821
سؤال
A two-tailed test is performed at 95% confidence.The p-value is determined to be 0.09.The null hypothesis

A)must be rejected
B)should not be rejected
C)could be rejected,depending on the sample size
D)has been designed incorrectly
سؤال
The average monthly rent for one-bedroom apartments in Chattanooga has been $700.Because of the downturn in the real estate market,it is believed that there has been a decrease in the average rental.The correct hypotheses to be tested are

A)H0: μ\mu < 700 Ha: μ\mu < 700
B)H0: μ\mu = 700 Ha: μ\mu \neq 700
C)H0: μ\mu > 700 Ha: μ\mu\le
D)H0: μ\mu < 700 Ha: μ\mu\ge 700
سؤال
The average life expectancy of tires produced by the Whitney Tire Company has been 40,000 miles.Management believes that due to a new production process,the life expectancy of their tires has increased.In order to test the validity of their belief,the correct set of hypotheses is

A)H0: μ\mu < 40,000 Ha: μ\mu \ge 40,000
B)H0: μ\mu \le 40,000 Ha: μ\mu > 40,000
C)H0: μ\mu > 40,000 Ha: μ\mu \le 40,000
D)H0: μ\mu \ge 40,000 Ha: μ\mu < 40,000
سؤال
For a one-tailed test (upper tail),a sample size of 18 at 95% confidence,t =

A)2.12
B)-2.12
C)-1.740
D)1.740
سؤال
For a one-tailed test (upper tail),a sample size of 26 at 90% confidence,t =

A)1.316
B)-1.316
C)-1.740
D)1.740
سؤال
A machine is designed to fill toothpaste tubes with 5.8 ounces of toothpaste.The manufacturer does not want any underfilling or overfilling.The correct hypotheses to be tested are

A)H0: μ\mu\neq 5.8 Ha: μ\mu = 5.8
B)H0: μ\mu = 5.8 Ha: μ\mu\neq 5.8
C)H0: μ\mu > 5.8 Ha: μ\mu \le 5.8
D)H0: μ\mu \ge 5.8 Ha: μ\mu < 5.8
سؤال
For a one-tailed test (lower tail)at 89.8% confidence,Z =

A)-1.27
B)-1.53
C)-1.96
D)-1.64
سؤال
A student believes that the average grade on the final examination in statistics is at least 85.She plans on taking a sample to test her belief.The correct set of hypotheses is

A)H0: μ\mu < 85 Ha: μ\mu \ge 85
B)H0: μ\mu \le 85 Ha: μ\mu > 85
C)H0: μ\mu \ge 85 Ha: μ\mu < 85
D)H0: μ\mu > 85 Ha: μ\mu \le 85
سؤال
A soft drink filling machine,when in perfect adjustment,fills the bottles with 12 ounces of soft drink.Any over filling or under filling results in the shutdown and readjustment of the machine.To determine whether or not the machine is properly adjusted,the correct set of hypotheses is

A)H0: μ\mu < 12 Ha: μ\mu \le 12
B)H0: μ\mu \le
12 Ha: μ\mu > 12
C)H0: μ\mu \neq 12 Ha: μ\mu = 12
D)H0: μ\mu = 12 Ha: μ\mu \neq 12
سؤال
For a two-tailed test at 98.4% confidence,Z =

A)1.96
B)1.14
C)2.41
D)0.8612
سؤال
For a one-tailed test (upper tail)at 93.7% confidence,Z =

A)1.50
B)1.96
C)1.645
D)1.53
سؤال
The average hourly wage of computer programmers with 2 years of experience has been $21.80.Because of high demand for computer programmers,it is believed there has been a significant increase in the average wage of computer programmers.To test whether or not there has been an increase,the correct hypotheses to be tested are

A)H0: μ\mu < 21.80 Ha: μ\mu \ge 21.80
B)H0: μ\mu = 21.80 Ha: μ\mu \neq 21.80
C)H0: μ\mu > 21.80 Ha: μ\mu \le 21.80
D)H0: μ\mu \le 21.80 Ha: μ\mu > 21.80
سؤال
The academic planner of a university thinks that at least 35% of the entire student body attends summer school.The correct set of hypotheses to test his belief is

A)H0: P > 0.35 Ha: P 
0)35
B)H0: P 
0)35 Ha: P > 0.35
C)H0: P 
0)35 Ha: P < 0.35
D)H0: P > 0.35 Ha: P 
0)35
سؤال
For a one-tailed test (lower tail)with 22 degrees of freedom at 95% confidence,the value of t =

A)-1.383
B)1.383
C)-1.717
D)-1.721
سؤال
In a two-tailed hypothesis test the test statistic is determined to be Z = -2.5.The p-value for this test is

A)-1.25
B)0.4938
C)0.0062
D)0.0124
سؤال
The average manufacturing work week in metropolitan Chattanooga was 40.1 hours last year.It is believed that the recession has led to a reduction in the average work week.To test the validity of this belief,the hypotheses are

A)H0: μ\mu < 40.1 Ha: μ\mu \ge 40.1
B)H0: μ\mu \ge 40.1 Ha: μ\mu < 40.1
C)H0: μ\mu > 40.1 Ha: μ\mu \le 40.1
D)H0: μ\mu = 40.1 Ha: μ\mu \neq 40.1
سؤال
The school's newspaper reported that the proportion of students majoring in business is at least 30%.You plan on taking a sample to test the newspaper's claim.The correct set of hypotheses is

A)H0: P < 0.30 Ha: P \ge 0.30
B)H0: P \le 0.30 Ha: P > 0.30
C)H0: P \ge 0.30 Ha: P < 0.30
D)H0: P > 0.30 Ha: P \le 0.30
سؤال
Exhibit 9-3
<strong>Exhibit 9-3   Refer to Exhibit 9-3.If the test is done at the 5% level of significance,the null hypothesis should</strong> A)not be rejected B)be rejected C)Not enough information given to answer this question. D)None of these alternatives is correct. <div style=padding-top: 35px>
Refer to Exhibit 9-3.If the test is done at the 5% level of significance,the null hypothesis should

A)not be rejected
B)be rejected
C)Not enough information given to answer this question.
D)None of these alternatives is correct.
سؤال
Exhibit 9-1
<strong>Exhibit 9-1   Refer to Exhibit 9-1.The test statistic is</strong> A)2.3 B)0.38 C)-2.3 D)-0.38 <div style=padding-top: 35px>
Refer to Exhibit 9-1.The test statistic is

A)2.3
B)0.38
C)-2.3
D)-0.38
سؤال
Exhibit 9-2
<strong>Exhibit 9-2   Refer to Exhibit 9-2.The test statistic equals</strong> A)-4 B)-3 C)-2 D)-1 <div style=padding-top: 35px>
Refer to Exhibit 9-2.The test statistic equals

A)-4
B)-3
C)-2
D)-1
سؤال
Exhibit 9-5
A random sample of 100 people was taken.Eighty-five of the people in the sample favored Candidate A.We are interested in determining whether or not the proportion of the population in favor of Candidate A is significantly more than 80%.
Refer to Exhibit 9-5.The test statistic is

A)0.80
B)0.05
C)1.25
D)2.00
سؤال
Exhibit 9-3
<strong>Exhibit 9-3   Refer to Exhibit 9-3.The test statistic is</strong> A)0.1714 B)0.3849 C)-1.2 D)1.2 <div style=padding-top: 35px>
Refer to Exhibit 9-3.The test statistic is

A)0.1714
B)0.3849
C)-1.2
D)1.2
سؤال
Exhibit 9-5
A random sample of 100 people was taken.Eighty-five of the people in the sample favored Candidate A.We are interested in determining whether or not the proportion of the population in favor of Candidate A is significantly more than 80%.
Refer to Exhibit 9-5.The p-value is

A)0.2112
B)0.05
C)0.025
D)0.1056
سؤال
Exhibit 9-5
A random sample of 100 people was taken.Eighty-five of the people in the sample favored Candidate A.We are interested in determining whether or not the proportion of the population in favor of Candidate A is significantly more than 80%.
Refer to Exhibit 9-5.At 95% confidence,it can be concluded that the proportion of the population in favor of candidate A

A)is significantly greater than 80%
B)is not significantly greater than 80%
C)is significantly greater than 85%
D)is not significantly greater than 85%
سؤال
The manager of an automobile dealership is considering a new bonus plan in order to increase sales.Currently,the mean sales rate per salesperson is five automobiles per month.The correct set of hypotheses for testing the effect of the bonus plan is

A)H0: μ\mu < 5 Ha: μ\mu \le 5
B)H0: μ\mu \le 5 Ha: μ\mu > 5
C)H0: μ\mu > 5 Ha: μ\mu \le 5
D)H0: μ\mu \ge 5 Ha: μ\mu < 5
سؤال
Exhibit 9-4
The manager of a grocery store has taken a random sample of 100 customers.The average length of time it took the customers in the sample to check out was 3.1 minutes with a standard deviation of 0.5 minutes.We want to test to determine whether or not the mean waiting time of all customers is significantly more than 3 minutes.
Refer to Exhibit 9-4.At 95% confidence,it can be concluded that the mean of the population is

A)significantly greater than 3
B)not significantly greater than 3
C)significantly less than 3
D)significantly greater then 3.18
سؤال
Your investment executive claims that the average yearly rate of return on the stocks she recommends is at least 10.0%.You plan on taking a sample to test her claim.The correct set of hypotheses is

A)H0: μ\mu < 10.0% Ha: μ\mu \ge 10.0%
B)H0: μ\mu >10.0% Ha: μ\mu > 10.0%
C)H0: μ\mu > 10.0% Ha: μ\mu \le 10.0%
D)H0: μ\mu \ge 10.0% Ha: μ\mu < 10.0%
سؤال
Exhibit 9-2
<strong>Exhibit 9-2   Refer to Exhibit 9-2.If the test is done at 95% confidence,the null hypothesis should</strong> A)not be rejected B)be rejected C)Not enough information is given to answer this question. D)None of these alternatives is correct. <div style=padding-top: 35px>
Refer to Exhibit 9-2.If the test is done at 95% confidence,the null hypothesis should

A)not be rejected
B)be rejected
C)Not enough information is given to answer this question.
D)None of these alternatives is correct.
سؤال
Exhibit 9-4
The manager of a grocery store has taken a random sample of 100 customers.The average length of time it took the customers in the sample to check out was 3.1 minutes with a standard deviation of 0.5 minutes.We want to test to determine whether or not the mean waiting time of all customers is significantly more than 3 minutes.
Refer to Exhibit 9-4.The test statistic is

A)1.96
B)1.64
C)2.00
D)0.056
سؤال
Exhibit 9-3
<strong>Exhibit 9-3   Refer to Exhibit 9-3.The p-value is between</strong> A)0.01 to 0.025 B)0.025 to 0.05 C).05 to 0.1 D)0.1 to 0.2 <div style=padding-top: 35px>
Refer to Exhibit 9-3.The p-value is between

A)0.01 to 0.025
B)0.025 to 0.05
C).05 to 0.1
D)0.1 to 0.2
سؤال
Exhibit 9-2
<strong>Exhibit 9-2   Refer to Exhibit 9-2.The p-value is between</strong> A).005 to .01 B).01 to .025 C).025 to .05 D).05 to .01 <div style=padding-top: 35px>
Refer to Exhibit 9-2.The p-value is between

A).005 to .01
B).01 to .025
C).025 to .05
D).05 to .01
سؤال
Exhibit 9-1
<strong>Exhibit 9-1   Refer to Exhibit 9-1.If the test is done at 95% confidence,the null hypothesis should</strong> A)not be rejected B)be rejected C)Not enough information is given to answer this question. D)None of these alternatives is correct. <div style=padding-top: 35px>
Refer to Exhibit 9-1.If the test is done at 95% confidence,the null hypothesis should

A)not be rejected
B)be rejected
C)Not enough information is given to answer this question.
D)None of these alternatives is correct.
سؤال
Exhibit 9-4
The manager of a grocery store has taken a random sample of 100 customers.The average length of time it took the customers in the sample to check out was 3.1 minutes with a standard deviation of 0.5 minutes.We want to test to determine whether or not the mean waiting time of all customers is significantly more than 3 minutes.
Refer to Exhibit 9-4.The p-value is between

A).005 to .01
B).01 to .025
C).025 to .05
D).05 to .10
سؤال
Exhibit 9-6
A random sample of 16 students selected from the student body of a large university had an average age of 25 years and a standard deviation of 2 years.We want to determine if the average age of all the students at the university is significantly more than 24.Assume the distribution of the population of ages is normal.
Refer to Exhibit 9-6.The test statistic is

A)1.96
B)2.00
C)1.645
D)0.05
سؤال
A weatherman stated that the average temperature during July in Chattanooga is 80 degrees or less.A sample of 32 Julys is taken.The correct set of hypotheses is

A)H0: μ\mu \ge 80 Ha: μ\mu < 80
B)H0: μ\mu \le 80 Ha: μ\mu > 80
C)H0: μ\mu \neq 80 Ha: μ\mu = 80
D)H0: μ\mu < 80 Ha: μ\mu > 80
سؤال
Exhibit 9-1
<strong>Exhibit 9-1   Refer to Exhibit 9-1.The p-value is between</strong> A)0.005 to 0.01 B)0.01 to 0.025 C)0.025 to 0.05 D)0.05 to 0.10 <div style=padding-top: 35px>
Refer to Exhibit 9-1.The p-value is between

A)0.005 to 0.01
B)0.01 to 0.025
C)0.025 to 0.05
D)0.05 to 0.10
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Deck 9: Hypothesis Tests
1
An assumption made about the value of a population parameter is called a

A)hypothesis
B)conclusion
C)confidence
D)significance
A
2
The sum of the values of α\alpha and β\beta

A)always add up to 1.0
B)always add up to 0.5
C)is the probability of Type II error
D)None of these alternatives is correct.
None of these alternatives is correct.
3
What type of error occurs if you fail to reject H0 when,in fact,it is not true?

A)Type II
B)Type I
C)either Type I or Type II,depending on the level of significance
D)either Type I or Type II,depending on whether the test is one tail or two tail
A
4
A Type II error is committed when

A)a true alternative hypothesis is mistakenly rejected
B)a true null hypothesis is mistakenly rejected
C)the sample size has been too small
D)not enough information has been available
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5
In hypothesis testing if the null hypothesis has been rejected when the alternative hypothesis has been true,

A)a Type I error has been committed
B)a Type II error has been committed
C)either a Type I or Type II error has been committed
D)the correct decision has been made
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6
The error of rejecting a true null hypothesis is

A)a Type I error
B)a Type II error
C)is the same as β\beta
D)committed when not enough information is available
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7
In hypothesis testing,the tentative assumption about the population parameter is

A)the alternative hypothesis
B)the null hypothesis
C)either the null or the alternative
D)None of these alternatives is correct.
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8
In hypothesis testing,

A)the smaller the Type I error,the smaller the Type II error will be
B)the smaller the Type I error,the larger the Type II error will be
C)Type II error will not be effected by Type I error
D)the sum of Type I and Ttype II errors must equal to 1
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9
The level of significance in hypothesis testing is the probability of

A)accepting a true null hypothesis
B)accepting a false null hypothesis
C)rejecting a true null hypothesis
D)None of these alternatives is correct.
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10
In hypothesis testing if the null hypothesis is rejected,

A)no conclusions can be drawn from the test
B)the alternative hypothesis is true
C)the data must have been accumulated incorrectly
D)the sample size has been too small
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11
The probability of making a Type II error is denoted by

A) α\alpha
B) β\beta
C)1 - α\alpha
D)1 - β\beta
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12
The probability of making a Type I error is denoted by

A) α\alpha
B) β\beta
C)1 - α\alpha
D)1 - β\beta
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13
The probability of committing a Type I error when the null hypothesis is true is

A)the confidence level
B) β\beta
C)greater than 1
D)the Level of Significance
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14
The level of significance

A)can be any positive value
B)can be any value
C)is (1 - confidence level)
D)can be any value between -1.96 to 1.96
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15
For a two-tail test,the p-value is the probability of obtaining a value for the test statistic as

A)likely as that provided by the sample
B)unlikely as that provided by the sample
C)likely as that provided by the population
D)unlikely as that provided by the population
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16
For a lower tail test,the p-value is the probability of obtaining a value for the test statistic

A)at least as small as that provided by the sample
B)at least as large as that provided by the sample
C)at least as small as that provided by the population
D)at least as large as that provided by the population.
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17
The power curve provides the probability of

A)correctly accepting the null hypothesis
B)incorrectly accepting the null hypothesis
C)correctly rejecting the alternative hypothesis
D)correctly rejecting the null hypothesis
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18
The p-value

A)is the same as the Z statistic
B)measures the number of standard deviations from the mean
C)is a distance
D)is a probability
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19
The level of significance is the

A)maximum allowable probability of Type II error
B)maximum allowable probability of Type I error
C)same as the confidence coefficient
D)same as the p-value
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20
The p-value is a probability that measures the support (or lack of support)for the

A)null hypothesis
B)alternative hypothesis
C)either the null or the alternative hypothesis
D)sample statistic
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21
In the hypothesis testing procedure, α\alpha is

A)the level of significance
B)the critical value
C)the confidence level
D)1 - level of significance
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22
If a hypothesis test leads to the rejection of the null hypothesis,

A)a Type II error must have been committed
B)a Type II error may have been committed
C)a Type I error must have been committed
D)a Type I error may have been committed
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23
If the level of significance of a hypothesis test is raised from .01 to .05,the probability of a Type II error

A)will also increase from .01 to .05
B)will not change
C)will decrease
D)will increase
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24
The p-value ranges between

A)zero and infinity
B)minus infinity to plus infinity
C)zero to one
D)-1 to +1
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25
For a two-tailed test at 86.12% confidence,Z =

A)1.96
B)1.48
C)1.09
D)0.86
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26
If a hypothesis is rejected at the 5% level of significance,it

A)will always be rejected at the 1% level
B)will always be accepted at the 1% level
C)will never be tested at the 1% level
D)may be rejected or not rejected at the 1% level
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27
Which of the following does not need to be known in order to compute the p-value?

A)knowledge of whether the test is one-tailed or two-tailed
B)the value of the test statistic
C)the level of significance
D)None of these alternatives is correct.
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28
Read the Z statistic from the normal distribution table and circle the correct answer.A one-tailed test (upper tail)at 87.7% confidence;Z =

A)1.54
B)1.96
C)1.645
D)1.16
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29
If a hypothesis is not rejected at the 5% level of significance,it

A)will also not be rejected at the 1% level
B)will always be rejected at the 1% level
C)will sometimes be rejected at the 1% level
D)None of these alternatives is correct.
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30
When the p-value is used for hypothesis testing,the null hypothesis is rejected if

A)p-value 

B) < p-value
C)p-value 

D)p-value = 1 -
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31
In a two-tailed hypothesis test situation,the test statistic is determined to be t = -2.692.The sample size has been 45.The p-value for this test is

A)-0.005
B)+0.005
C)-0.01
D)+0.01
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32
When the following hypotheses are being tested at a level of significance of α\alpha
H0: μ\mu  <strong>When the following hypotheses are being tested at a level of significance of  \alpha  H<sub>0</sub>:  \mu  500 H<sub>a</sub>:  \mu  < 500 The null hypothesis will be rejected if the p-value is</strong> A) \le\alpha  B)>  \alpha  C)>  \alpha /2 D) \le 1 -  \alpha /2  500
Ha: μ\mu < 500
The null hypothesis will be rejected if the p-value is

A) \leα\alpha
B)> α\alpha
C)> α\alpha /2
D) \le 1 - α\alpha /2
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33
For a one-tailed test (lower tail)at 93.7% confidence,Z =

A)-1.86
B)-1.53
C)-1.96
D)-1.645
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34
For a two-tailed test,a sample of 20 at 80% confidence,t =

A)1.328
B)2.539
C)1.325
D)2.528
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35
As the test statistic becomes larger,the p-value

A)gets smaller
B)becomes larger
C)stays the same,since the sample size has not been changed
D)becomes negative
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36
If a hypothesis is rejected at 95% confidence,it

A)will always be accepted at 90% confidence
B)will always be rejected at 90% confidence
C)will sometimes be rejected at 90% confidence
D)None of these alternatives is correct.
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37
If the probability of a Type I error ( α\alpha )is 0.05,then the probability of a Type II error ( β\beta )must be

A)0.05
B)0.95
C)0.025
D)None of these alternatives is correct.
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38
In order to test the following hypotheses at an α\alpha level of significance
H0: μ\mu  <strong>In order to test the following hypotheses at an  \alpha  level of significance H<sub>0</sub>:  \mu  800 H<sub>a</sub>:  \mu  > 800 The null hypothesis will be rejected if the test statistic Z is</strong> A) \ge Z \alpha  B)< Z \alpha  C)< -Z \alpha  D)=  \alpha   800
Ha: μ\mu > 800
The null hypothesis will be rejected if the test statistic Z is

A) \ge Z α\alpha
B)< Z α\alpha
C)< -Z α\alpha
D)= α\alpha
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39
In a lower one-tail hypothesis test situation,the p-value is determined to be 0.2.If the sample size for this test is 51,the t statistic has a value of

A)0.849
B)-0.849
C)1.299
D)-1.299
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40
For a lower bounds one-tailed test,the test statistic z is determined to be zero.The p-value for this test is

A)zero
B)-0.5
C)+0.5
D)1.00
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41
For a one-tailed hypothesis test (upper tail)the p-value is computed to be 0.034.If the test is being conducted at 95% confidence,the null hypothesis

A)could be rejected or not rejected depending on the sample size
B)could be rejected or not rejected depending on the value of the mean of the sample
C)is not rejected
D)is rejected
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42
In a one-tailed hypothesis test (lower tail)the test statistic is determined to be -2.The p-value for this test is

A)0.4772
B)0.0228
C)0.0056
D)0.5228
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43
In the past,75% of the tourists who visited Chattanooga went to see Rock City.The management of Rock City recently undertook an extensive promotional campaign.They are interested in determining whether the promotional campaign actually increased the proportion of tourists visiting Rock City.The correct set of hypotheses is

A)H0: P > 0.75 Ha: P \le 0.75
B)H0: P < 0.75 Ha: P \ge 0.75
C)H0: P \ge
0)75 Ha: P < 0.75
D)H0: P \le 0.75 Ha: P > 0.75
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44
For a one-tailed test (lower tail),a sample size of 10 at 90% confidence,t =

A)1.383
B)2.821
C)-1.383
D)-2.821
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45
A two-tailed test is performed at 95% confidence.The p-value is determined to be 0.09.The null hypothesis

A)must be rejected
B)should not be rejected
C)could be rejected,depending on the sample size
D)has been designed incorrectly
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46
The average monthly rent for one-bedroom apartments in Chattanooga has been $700.Because of the downturn in the real estate market,it is believed that there has been a decrease in the average rental.The correct hypotheses to be tested are

A)H0: μ\mu < 700 Ha: μ\mu < 700
B)H0: μ\mu = 700 Ha: μ\mu \neq 700
C)H0: μ\mu > 700 Ha: μ\mu\le
D)H0: μ\mu < 700 Ha: μ\mu\ge 700
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47
The average life expectancy of tires produced by the Whitney Tire Company has been 40,000 miles.Management believes that due to a new production process,the life expectancy of their tires has increased.In order to test the validity of their belief,the correct set of hypotheses is

A)H0: μ\mu < 40,000 Ha: μ\mu \ge 40,000
B)H0: μ\mu \le 40,000 Ha: μ\mu > 40,000
C)H0: μ\mu > 40,000 Ha: μ\mu \le 40,000
D)H0: μ\mu \ge 40,000 Ha: μ\mu < 40,000
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48
For a one-tailed test (upper tail),a sample size of 18 at 95% confidence,t =

A)2.12
B)-2.12
C)-1.740
D)1.740
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49
For a one-tailed test (upper tail),a sample size of 26 at 90% confidence,t =

A)1.316
B)-1.316
C)-1.740
D)1.740
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50
A machine is designed to fill toothpaste tubes with 5.8 ounces of toothpaste.The manufacturer does not want any underfilling or overfilling.The correct hypotheses to be tested are

A)H0: μ\mu\neq 5.8 Ha: μ\mu = 5.8
B)H0: μ\mu = 5.8 Ha: μ\mu\neq 5.8
C)H0: μ\mu > 5.8 Ha: μ\mu \le 5.8
D)H0: μ\mu \ge 5.8 Ha: μ\mu < 5.8
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51
For a one-tailed test (lower tail)at 89.8% confidence,Z =

A)-1.27
B)-1.53
C)-1.96
D)-1.64
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52
A student believes that the average grade on the final examination in statistics is at least 85.She plans on taking a sample to test her belief.The correct set of hypotheses is

A)H0: μ\mu < 85 Ha: μ\mu \ge 85
B)H0: μ\mu \le 85 Ha: μ\mu > 85
C)H0: μ\mu \ge 85 Ha: μ\mu < 85
D)H0: μ\mu > 85 Ha: μ\mu \le 85
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53
A soft drink filling machine,when in perfect adjustment,fills the bottles with 12 ounces of soft drink.Any over filling or under filling results in the shutdown and readjustment of the machine.To determine whether or not the machine is properly adjusted,the correct set of hypotheses is

A)H0: μ\mu < 12 Ha: μ\mu \le 12
B)H0: μ\mu \le
12 Ha: μ\mu > 12
C)H0: μ\mu \neq 12 Ha: μ\mu = 12
D)H0: μ\mu = 12 Ha: μ\mu \neq 12
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54
For a two-tailed test at 98.4% confidence,Z =

A)1.96
B)1.14
C)2.41
D)0.8612
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55
For a one-tailed test (upper tail)at 93.7% confidence,Z =

A)1.50
B)1.96
C)1.645
D)1.53
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56
The average hourly wage of computer programmers with 2 years of experience has been $21.80.Because of high demand for computer programmers,it is believed there has been a significant increase in the average wage of computer programmers.To test whether or not there has been an increase,the correct hypotheses to be tested are

A)H0: μ\mu < 21.80 Ha: μ\mu \ge 21.80
B)H0: μ\mu = 21.80 Ha: μ\mu \neq 21.80
C)H0: μ\mu > 21.80 Ha: μ\mu \le 21.80
D)H0: μ\mu \le 21.80 Ha: μ\mu > 21.80
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57
The academic planner of a university thinks that at least 35% of the entire student body attends summer school.The correct set of hypotheses to test his belief is

A)H0: P > 0.35 Ha: P 
0)35
B)H0: P 
0)35 Ha: P > 0.35
C)H0: P 
0)35 Ha: P < 0.35
D)H0: P > 0.35 Ha: P 
0)35
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58
For a one-tailed test (lower tail)with 22 degrees of freedom at 95% confidence,the value of t =

A)-1.383
B)1.383
C)-1.717
D)-1.721
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59
In a two-tailed hypothesis test the test statistic is determined to be Z = -2.5.The p-value for this test is

A)-1.25
B)0.4938
C)0.0062
D)0.0124
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60
The average manufacturing work week in metropolitan Chattanooga was 40.1 hours last year.It is believed that the recession has led to a reduction in the average work week.To test the validity of this belief,the hypotheses are

A)H0: μ\mu < 40.1 Ha: μ\mu \ge 40.1
B)H0: μ\mu \ge 40.1 Ha: μ\mu < 40.1
C)H0: μ\mu > 40.1 Ha: μ\mu \le 40.1
D)H0: μ\mu = 40.1 Ha: μ\mu \neq 40.1
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61
The school's newspaper reported that the proportion of students majoring in business is at least 30%.You plan on taking a sample to test the newspaper's claim.The correct set of hypotheses is

A)H0: P < 0.30 Ha: P \ge 0.30
B)H0: P \le 0.30 Ha: P > 0.30
C)H0: P \ge 0.30 Ha: P < 0.30
D)H0: P > 0.30 Ha: P \le 0.30
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62
Exhibit 9-3
<strong>Exhibit 9-3   Refer to Exhibit 9-3.If the test is done at the 5% level of significance,the null hypothesis should</strong> A)not be rejected B)be rejected C)Not enough information given to answer this question. D)None of these alternatives is correct.
Refer to Exhibit 9-3.If the test is done at the 5% level of significance,the null hypothesis should

A)not be rejected
B)be rejected
C)Not enough information given to answer this question.
D)None of these alternatives is correct.
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63
Exhibit 9-1
<strong>Exhibit 9-1   Refer to Exhibit 9-1.The test statistic is</strong> A)2.3 B)0.38 C)-2.3 D)-0.38
Refer to Exhibit 9-1.The test statistic is

A)2.3
B)0.38
C)-2.3
D)-0.38
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64
Exhibit 9-2
<strong>Exhibit 9-2   Refer to Exhibit 9-2.The test statistic equals</strong> A)-4 B)-3 C)-2 D)-1
Refer to Exhibit 9-2.The test statistic equals

A)-4
B)-3
C)-2
D)-1
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65
Exhibit 9-5
A random sample of 100 people was taken.Eighty-five of the people in the sample favored Candidate A.We are interested in determining whether or not the proportion of the population in favor of Candidate A is significantly more than 80%.
Refer to Exhibit 9-5.The test statistic is

A)0.80
B)0.05
C)1.25
D)2.00
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66
Exhibit 9-3
<strong>Exhibit 9-3   Refer to Exhibit 9-3.The test statistic is</strong> A)0.1714 B)0.3849 C)-1.2 D)1.2
Refer to Exhibit 9-3.The test statistic is

A)0.1714
B)0.3849
C)-1.2
D)1.2
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67
Exhibit 9-5
A random sample of 100 people was taken.Eighty-five of the people in the sample favored Candidate A.We are interested in determining whether or not the proportion of the population in favor of Candidate A is significantly more than 80%.
Refer to Exhibit 9-5.The p-value is

A)0.2112
B)0.05
C)0.025
D)0.1056
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68
Exhibit 9-5
A random sample of 100 people was taken.Eighty-five of the people in the sample favored Candidate A.We are interested in determining whether or not the proportion of the population in favor of Candidate A is significantly more than 80%.
Refer to Exhibit 9-5.At 95% confidence,it can be concluded that the proportion of the population in favor of candidate A

A)is significantly greater than 80%
B)is not significantly greater than 80%
C)is significantly greater than 85%
D)is not significantly greater than 85%
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69
The manager of an automobile dealership is considering a new bonus plan in order to increase sales.Currently,the mean sales rate per salesperson is five automobiles per month.The correct set of hypotheses for testing the effect of the bonus plan is

A)H0: μ\mu < 5 Ha: μ\mu \le 5
B)H0: μ\mu \le 5 Ha: μ\mu > 5
C)H0: μ\mu > 5 Ha: μ\mu \le 5
D)H0: μ\mu \ge 5 Ha: μ\mu < 5
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70
Exhibit 9-4
The manager of a grocery store has taken a random sample of 100 customers.The average length of time it took the customers in the sample to check out was 3.1 minutes with a standard deviation of 0.5 minutes.We want to test to determine whether or not the mean waiting time of all customers is significantly more than 3 minutes.
Refer to Exhibit 9-4.At 95% confidence,it can be concluded that the mean of the population is

A)significantly greater than 3
B)not significantly greater than 3
C)significantly less than 3
D)significantly greater then 3.18
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71
Your investment executive claims that the average yearly rate of return on the stocks she recommends is at least 10.0%.You plan on taking a sample to test her claim.The correct set of hypotheses is

A)H0: μ\mu < 10.0% Ha: μ\mu \ge 10.0%
B)H0: μ\mu >10.0% Ha: μ\mu > 10.0%
C)H0: μ\mu > 10.0% Ha: μ\mu \le 10.0%
D)H0: μ\mu \ge 10.0% Ha: μ\mu < 10.0%
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72
Exhibit 9-2
<strong>Exhibit 9-2   Refer to Exhibit 9-2.If the test is done at 95% confidence,the null hypothesis should</strong> A)not be rejected B)be rejected C)Not enough information is given to answer this question. D)None of these alternatives is correct.
Refer to Exhibit 9-2.If the test is done at 95% confidence,the null hypothesis should

A)not be rejected
B)be rejected
C)Not enough information is given to answer this question.
D)None of these alternatives is correct.
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73
Exhibit 9-4
The manager of a grocery store has taken a random sample of 100 customers.The average length of time it took the customers in the sample to check out was 3.1 minutes with a standard deviation of 0.5 minutes.We want to test to determine whether or not the mean waiting time of all customers is significantly more than 3 minutes.
Refer to Exhibit 9-4.The test statistic is

A)1.96
B)1.64
C)2.00
D)0.056
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74
Exhibit 9-3
<strong>Exhibit 9-3   Refer to Exhibit 9-3.The p-value is between</strong> A)0.01 to 0.025 B)0.025 to 0.05 C).05 to 0.1 D)0.1 to 0.2
Refer to Exhibit 9-3.The p-value is between

A)0.01 to 0.025
B)0.025 to 0.05
C).05 to 0.1
D)0.1 to 0.2
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75
Exhibit 9-2
<strong>Exhibit 9-2   Refer to Exhibit 9-2.The p-value is between</strong> A).005 to .01 B).01 to .025 C).025 to .05 D).05 to .01
Refer to Exhibit 9-2.The p-value is between

A).005 to .01
B).01 to .025
C).025 to .05
D).05 to .01
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76
Exhibit 9-1
<strong>Exhibit 9-1   Refer to Exhibit 9-1.If the test is done at 95% confidence,the null hypothesis should</strong> A)not be rejected B)be rejected C)Not enough information is given to answer this question. D)None of these alternatives is correct.
Refer to Exhibit 9-1.If the test is done at 95% confidence,the null hypothesis should

A)not be rejected
B)be rejected
C)Not enough information is given to answer this question.
D)None of these alternatives is correct.
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77
Exhibit 9-4
The manager of a grocery store has taken a random sample of 100 customers.The average length of time it took the customers in the sample to check out was 3.1 minutes with a standard deviation of 0.5 minutes.We want to test to determine whether or not the mean waiting time of all customers is significantly more than 3 minutes.
Refer to Exhibit 9-4.The p-value is between

A).005 to .01
B).01 to .025
C).025 to .05
D).05 to .10
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78
Exhibit 9-6
A random sample of 16 students selected from the student body of a large university had an average age of 25 years and a standard deviation of 2 years.We want to determine if the average age of all the students at the university is significantly more than 24.Assume the distribution of the population of ages is normal.
Refer to Exhibit 9-6.The test statistic is

A)1.96
B)2.00
C)1.645
D)0.05
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79
A weatherman stated that the average temperature during July in Chattanooga is 80 degrees or less.A sample of 32 Julys is taken.The correct set of hypotheses is

A)H0: μ\mu \ge 80 Ha: μ\mu < 80
B)H0: μ\mu \le 80 Ha: μ\mu > 80
C)H0: μ\mu \neq 80 Ha: μ\mu = 80
D)H0: μ\mu < 80 Ha: μ\mu > 80
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80
Exhibit 9-1
<strong>Exhibit 9-1   Refer to Exhibit 9-1.The p-value is between</strong> A)0.005 to 0.01 B)0.01 to 0.025 C)0.025 to 0.05 D)0.05 to 0.10
Refer to Exhibit 9-1.The p-value is between

A)0.005 to 0.01
B)0.01 to 0.025
C)0.025 to 0.05
D)0.05 to 0.10
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