Deck 9: Inferences From Two Samples

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Question
Find Sd.S _d . Consider the set of differences between two dependent sets: 84,85,83,63,61,100,98 . Round to the nearest tenth.

A) 15.3
B) 16.2
C) 15.7
D) 13.1
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Question
When performing a hypothesis test for the ratio of two population variances, the upper critical F value is denoted <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,   can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   and    can be denoted   Find the critical values    and    for a two-tailed hypothesis test based on the following values:  </strong> A)  0.7351,2.2378 B)  0.5327,2.2878 C)  0.4745,2.2878 D)  0.4745,2.4371 <div style=padding-top: 35px> The lower critical F value, <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,   can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   and    can be denoted   Find the critical values    and    for a two-tailed hypothesis test based on the following values:  </strong> A)  0.7351,2.2378 B)  0.5327,2.2878 C)  0.4745,2.2878 D)  0.4745,2.4371 <div style=padding-top: 35px> can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting F value found in Table A-5. <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,   can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   and    can be denoted   Find the critical values    and    for a two-tailed hypothesis test based on the following values:  </strong> A)  0.7351,2.2378 B)  0.5327,2.2878 C)  0.4745,2.2878 D)  0.4745,2.4371 <div style=padding-top: 35px> can be denoted <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,   can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   and    can be denoted   Find the critical values    and    for a two-tailed hypothesis test based on the following values:  </strong> A)  0.7351,2.2378 B)  0.5327,2.2878 C)  0.4745,2.2878 D)  0.4745,2.4371 <div style=padding-top: 35px> and <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,   can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   and    can be denoted   Find the critical values    and    for a two-tailed hypothesis test based on the following values:  </strong> A)  0.7351,2.2378 B)  0.5327,2.2878 C)  0.4745,2.2878 D)  0.4745,2.4371 <div style=padding-top: 35px> can be denoted <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,   can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   and    can be denoted   Find the critical values    and    for a two-tailed hypothesis test based on the following values:  </strong> A)  0.7351,2.2378 B)  0.5327,2.2878 C)  0.4745,2.2878 D)  0.4745,2.4371 <div style=padding-top: 35px>
Find the critical values <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,   can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   and    can be denoted   Find the critical values    and    for a two-tailed hypothesis test based on the following values:  </strong> A)  0.7351,2.2378 B)  0.5327,2.2878 C)  0.4745,2.2878 D)  0.4745,2.4371 <div style=padding-top: 35px> and <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,   can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   and    can be denoted   Find the critical values    and    for a two-tailed hypothesis test based on the following values:  </strong> A)  0.7351,2.2378 B)  0.5327,2.2878 C)  0.4745,2.2878 D)  0.4745,2.4371 <div style=padding-top: 35px> for a two-tailed hypothesis test based on the following values: <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,   can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   and    can be denoted   Find the critical values    and    for a two-tailed hypothesis test based on the following values:  </strong> A)  0.7351,2.2378 B)  0.5327,2.2878 C)  0.4745,2.2878 D)  0.4745,2.4371 <div style=padding-top: 35px>

A) 0.7351,2.2378
B) 0.5327,2.2878
C) 0.4745,2.2878
D) 0.4745,2.4371
Question
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the pooled estimate   Round your answer to the nearest thousandth.  </strong> A)  0.479 B)  0.435 C)  0.305 D)  0.392 <div style=padding-top: 35px>
to test the claim that <strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the pooled estimate   Round your answer to the nearest thousandth.  </strong> A)  0.479 B)  0.435 C)  0.305 D)  0.392 <div style=padding-top: 35px> Use the given sample sizes and numbers of successes to find the pooled estimate <strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the pooled estimate   Round your answer to the nearest thousandth.  </strong> A)  0.479 B)  0.435 C)  0.305 D)  0.392 <div style=padding-top: 35px> Round your answer to the nearest thousandth.
<strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the pooled estimate   Round your answer to the nearest thousandth.  </strong> A)  0.479 B)  0.435 C)  0.305 D)  0.392 <div style=padding-top: 35px>

A) 0.479
B) 0.435
C) 0.305
D) 0.392
Question
Determine whether the samples are independent or dependent. The effectiveness of a headache medicine is tested by measuring the intensity of a headache in patients before and after drug
Treatment. The data consist of before and after intensities for each patient.
<strong>Determine whether the samples are independent or dependent. The effectiveness of a headache medicine is tested by measuring the intensity of a headache in patients before and after drug Treatment. The data consist of before and after intensities for each patient.  </strong> A)Independent samples B)Dependent samples <div style=padding-top: 35px>

A)Independent samples
B)Dependent samples
Question
Assume that two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal.
Which distribution is used to test the claim that women have a higher mean resting heart rate
Than men?

A)Normal
B)t
C)chi-square
D)F
Question
Determine whether the following statement regarding the hypothesis test for two population
proportions is true or false:
However small the difference between two population proportions, for sufficiently large
sample sizes, the null hypothesis of equal population proportions is likely to be rejected.
Question
Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Independent samples from two different populations yield the following data.
<strong>Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Independent samples from two different populations yield the following data.   The sample size is 478 for both samples. Find the  85 %  confidence interval for  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
The sample size is 478 for both samples. Find the 85 % confidence interval for <strong>Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Independent samples from two different populations yield the following data.   The sample size is 478 for both samples. Find the  85 %  confidence interval for  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>

A) <strong>Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Independent samples from two different populations yield the following data.   The sample size is 478 for both samples. Find the  85 %  confidence interval for  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Independent samples from two different populations yield the following data.   The sample size is 478 for both samples. Find the  85 %  confidence interval for  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Independent samples from two different populations yield the following data.   The sample size is 478 for both samples. Find the  85 %  confidence interval for  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Independent samples from two different populations yield the following data.   The sample size is 478 for both samples. Find the  85 %  confidence interval for  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Find sd. The differences between two sets of dependent data are 0.4, 0.24, 0.22, 0.26, 0.34._ Round to the nearest hundredth.

A)0.08
B)0.12
C)0.04
D)0.24
Question
A paint manufacturer made a modification to a paint to speed up its drying time. Independent_ simple random samples of 11 cans of type A (the original paint)and 9 cans of type B (the
Modified paint)were selected and applied to similar surfaces. The drying times, in hours, were
Recorded. The summary statistics are as follows. A paint manufacturer made a modification to a paint to speed up its drying time. Independent_ simple random samples of 11 cans of type A (the original paint)and 9 cans of type B (the Modified paint)were selected and applied to similar surfaces. The drying times, in hours, were Recorded. The summary statistics are as follows.  <div style=padding-top: 35px>
Question
Construct the indicated confidence interval for the difference between the two population_ means. Assume that the two samples are independent simple random samples selected from
Normally distributed populations. Do not assume that the population standard deviations are
Equal. A paint manufacturer wished to compare the drying times of two different types of
Paint. Independent simple random samples of 11 cans of type A and 9 cans of type B were
Selected and applied to similar surfaces. The drying times, in hours, were recorded. The
Summary statistics are as follows.  Type A  Type B xˉ1=75.7hrsxˉ2=64.3hrss1=4.5hrss2=5.1hrsn1=11n2=9\begin{array} { | l | l | } \hline { \text { Type A } } & { \text { Type B } } \\\hline \bar { x } _ { 1 } = 75.7 \mathrm { hrs } & \bar { x } _ { 2 } = 64.3 \mathrm { hrs } \\\hline s _ { 1 } = 4.5 \mathrm { hrs } & s _ { 2 } = 5.1 \mathrm { hrs } \\\hline n _ { 1 } = 11 & n _ { 2 } = 9 \\\hline\end{array}
Construct a 98%98 \% confidence interval for μ1μ2\mu _ { 1 } - \mu _ { 2 } , the difference between the mean drying time for paint of type A\mathrm { A } and the mean drying time for paint of type B\mathrm { B } .

A) 6.08hrs<μ1μ2<16.72hrs6.08 \mathrm { hrs } < \mu _ { 1 } - \mu _ { 2 } < 16.72 \mathrm { hrs }
B) 5.92hrs<μ1μ2<16.88hrs5.92 \mathrm { hrs } < \mu _ { 1 } - \mu _ { 2 } < 16.88 \mathrm { hrs }
C) 5.85hrs<μ1μ2<16.95hrs5.85 \mathrm { hrs } < \mu _ { 1 } - \mu _ { 2 } < 16.95 \mathrm { hrs }
D) 5.78hrs<μ1μ2<17.02hrs5.78 \mathrm { hrs } < \mu _ { 1 } - \mu _ { 2 } < 17.02 \mathrm { hrs }
Question
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the  P -value for the hypothesis test.  </strong> A)  0.7794 B)  0.3897 C)  0.6103 D)  0.2206 <div style=padding-top: 35px> to test the claim that <strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the  P -value for the hypothesis test.  </strong> A)  0.7794 B)  0.3897 C)  0.6103 D)  0.2206 <div style=padding-top: 35px> Use the given sample sizes and numbers of successes to find the P -value for the hypothesis test.
<strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the  P -value for the hypothesis test.  </strong> A)  0.7794 B)  0.3897 C)  0.6103 D)  0.2206 <div style=padding-top: 35px>

A) 0.7794
B) 0.3897
C) 0.6103
D) 0.2206
Question
The two data sets are dependent. Find <strong>The two data sets are dependent. Find    to the nearest tenth.  </strong> A)  50.7 B)  23.4 C)  48.8 D)  39.0 <div style=padding-top: 35px> to the nearest tenth.
<strong>The two data sets are dependent. Find    to the nearest tenth.  </strong> A)  50.7 B)  23.4 C)  48.8 D)  39.0 <div style=padding-top: 35px>

A) 50.7
B) 23.4
C) 48.8
D) 39.0
Question
When testing the claim that <strong>When testing the claim that  , a test statistic of  z=2.04  is obtained. Find the  P -value obtained from this test statistic.</strong> A)  0.9586 B)  0.0207 C)  0.9793 D)  0.0414 <div style=padding-top: 35px> , a test statistic of z=2.04 is obtained. Find the P -value obtained from this test statistic.

A) 0.9586
B) 0.0207
C) 0.9793
D) 0.0414
Question
Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test; i.e., describe the values of the test statistic that would result in rejection of the null hypothesis. We wish to compare the means of two populations using paired observations. Suppose that <strong>Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test; i.e., describe the values of the test statistic that would result in rejection of the null hypothesis. We wish to compare the means of two populations using paired observations. Suppose that   and that you wish to test the following hypothesis at the 10 %  level of significance:   What decision rule would you use?</strong> A) Reject   if the test statistic is less than  1.415 . B) Reject   if the test statistic is greater than  -1.145 . C) Reject   if the test statistic is greater than  -1.145  or less than  1.415 . D) Reject   if the test statistic is greater than  1.415 . <div style=padding-top: 35px> and that you wish to test the following hypothesis at the
10 % level of significance:
<strong>Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test; i.e., describe the values of the test statistic that would result in rejection of the null hypothesis. We wish to compare the means of two populations using paired observations. Suppose that   and that you wish to test the following hypothesis at the 10 %  level of significance:   What decision rule would you use?</strong> A) Reject   if the test statistic is less than  1.415 . B) Reject   if the test statistic is greater than  -1.145 . C) Reject   if the test statistic is greater than  -1.145  or less than  1.415 . D) Reject   if the test statistic is greater than  1.415 . <div style=padding-top: 35px>
What decision rule would you use?

A) Reject <strong>Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test; i.e., describe the values of the test statistic that would result in rejection of the null hypothesis. We wish to compare the means of two populations using paired observations. Suppose that   and that you wish to test the following hypothesis at the 10 %  level of significance:   What decision rule would you use?</strong> A) Reject   if the test statistic is less than  1.415 . B) Reject   if the test statistic is greater than  -1.145 . C) Reject   if the test statistic is greater than  -1.145  or less than  1.415 . D) Reject   if the test statistic is greater than  1.415 . <div style=padding-top: 35px> if the test statistic is less than 1.415 .
B) Reject <strong>Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test; i.e., describe the values of the test statistic that would result in rejection of the null hypothesis. We wish to compare the means of two populations using paired observations. Suppose that   and that you wish to test the following hypothesis at the 10 %  level of significance:   What decision rule would you use?</strong> A) Reject   if the test statistic is less than  1.415 . B) Reject   if the test statistic is greater than  -1.145 . C) Reject   if the test statistic is greater than  -1.145  or less than  1.415 . D) Reject   if the test statistic is greater than  1.415 . <div style=padding-top: 35px> if the test statistic is greater than -1.145 .
C) Reject <strong>Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test; i.e., describe the values of the test statistic that would result in rejection of the null hypothesis. We wish to compare the means of two populations using paired observations. Suppose that   and that you wish to test the following hypothesis at the 10 %  level of significance:   What decision rule would you use?</strong> A) Reject   if the test statistic is less than  1.415 . B) Reject   if the test statistic is greater than  -1.145 . C) Reject   if the test statistic is greater than  -1.145  or less than  1.415 . D) Reject   if the test statistic is greater than  1.415 . <div style=padding-top: 35px> if the test statistic is greater than -1.145 or less than 1.415 .
D) Reject <strong>Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test; i.e., describe the values of the test statistic that would result in rejection of the null hypothesis. We wish to compare the means of two populations using paired observations. Suppose that   and that you wish to test the following hypothesis at the 10 %  level of significance:   What decision rule would you use?</strong> A) Reject   if the test statistic is less than  1.415 . B) Reject   if the test statistic is greater than  -1.145 . C) Reject   if the test statistic is greater than  -1.145  or less than  1.415 . D) Reject   if the test statistic is greater than  1.415 . <div style=padding-top: 35px> if the test statistic is greater than 1.415 .
Question
Which distribution is used to test the claim that the standard deviation of the ages (in years)of when girls first learn to ride a bike is equal to the standard deviation of the ages (in years)
When boys first lean to ride a bike?

A)Normal
B)t
C)chi-square
D)F
Question
Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test; i.e., describe the values of the test statistic that would result in rejection of the null hypothesis. Suppose you wish to test the claim that <strong>Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test; i.e., describe the values of the test statistic that would result in rejection of the null hypothesis. Suppose you wish to test the claim that   the mean value of the differences  d  for a population of paired data, is greater than 0 . Given a sample of  n=15  and a significance level of   what criterion would be used for rejecting the null hypothesis?</strong> A) Reject null hypothesis if test statistic  <2.624 . B) Reject null hypothesis if test statistic  >2.602 . C) Reject null hypothesis if test statistic  >2.624 . D) Reject null hypothesis if test statistic  >2.977  or  <-2.977 . <div style=padding-top: 35px> the mean value of the differences d for a population of paired data, is greater than 0 . Given a sample of n=15 and a significance level of <strong>Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test; i.e., describe the values of the test statistic that would result in rejection of the null hypothesis. Suppose you wish to test the claim that   the mean value of the differences  d  for a population of paired data, is greater than 0 . Given a sample of  n=15  and a significance level of   what criterion would be used for rejecting the null hypothesis?</strong> A) Reject null hypothesis if test statistic  <2.624 . B) Reject null hypothesis if test statistic  >2.602 . C) Reject null hypothesis if test statistic  >2.624 . D) Reject null hypothesis if test statistic  >2.977  or  <-2.977 . <div style=padding-top: 35px> what criterion would be used for rejecting the null hypothesis?

A) Reject null hypothesis if test statistic <2.624 .
B) Reject null hypothesis if test statistic >2.602 .
C) Reject null hypothesis if test statistic >2.624 .
D) Reject null hypothesis if test statistic >2.977 or <-2.977 .
Question
Assume that the following confidence interval for the difference in the mean length of male (sample 1) and female babies (sample 2) at birth was constructed using independent simple random samples. -0.2 in <strong>Assume that the following confidence interval for the difference in the mean length of male (sample 1) and female babies (sample 2) at birth was constructed using independent simple random samples.  -0.2  in   What does the confidence interval suggest about the difference in length between male babies and female babies?</strong> A) Male babies are longer. B) Female babies are longer. C) There is no difference in the length between male and female babies. <div style=padding-top: 35px>
What does the confidence interval suggest about the difference in length between male babies and female babies?

A) Male babies are longer.
B) Female babies are longer.
C) There is no difference in the length between male and female babies.
Question
If the heights of male college basketball players and female basketball players are used to construct a 95 % confidence interval for the difference between the two population means, the result is 15.35 cm <strong>If the heights of male college basketball players and female basketball players are used to construct a  95 %  confidence interval for the difference between the two population means, the result is  15.35 cm   where heights of male players correspond to population 1 and heights of female players correspond to population 2. Express the confidence interval with heights of female basketball players being population 1 and heights of male basketball players being population 2 .</strong> A)   B)   C)   D) This cannot be determined without having the original data values. <div style=padding-top: 35px>
where heights of male players correspond to population 1 and heights of female players correspond to population 2. Express the confidence interval with heights of female basketball players being population 1 and heights of male basketball players being population 2 .

A) <strong>If the heights of male college basketball players and female basketball players are used to construct a  95 %  confidence interval for the difference between the two population means, the result is  15.35 cm   where heights of male players correspond to population 1 and heights of female players correspond to population 2. Express the confidence interval with heights of female basketball players being population 1 and heights of male basketball players being population 2 .</strong> A)   B)   C)   D) This cannot be determined without having the original data values. <div style=padding-top: 35px>
B) <strong>If the heights of male college basketball players and female basketball players are used to construct a  95 %  confidence interval for the difference between the two population means, the result is  15.35 cm   where heights of male players correspond to population 1 and heights of female players correspond to population 2. Express the confidence interval with heights of female basketball players being population 1 and heights of male basketball players being population 2 .</strong> A)   B)   C)   D) This cannot be determined without having the original data values. <div style=padding-top: 35px>
C) <strong>If the heights of male college basketball players and female basketball players are used to construct a  95 %  confidence interval for the difference between the two population means, the result is  15.35 cm   where heights of male players correspond to population 1 and heights of female players correspond to population 2. Express the confidence interval with heights of female basketball players being population 1 and heights of male basketball players being population 2 .</strong> A)   B)   C)   D) This cannot be determined without having the original data values. <div style=padding-top: 35px>
D) This cannot be determined without having the original data values.
Question
Express the alternative hypothesis in symbolic form. of time (in hours)sophomores spent studying for the statistics final exam is more than that of
Freshmen. Assume that the two samples are independent. Let the freshmen be the first
Population and the sophomores be the second population. Express the alternative hypothesis in symbolic form. of time (in hours)sophomores spent studying for the statistics final exam is more than that of Freshmen. Assume that the two samples are independent. Let the freshmen be the first Population and the sophomores be the second population.  <div style=padding-top: 35px>
Question
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the pooled estimate    Round your answer to the nearest thousandth.  </strong> A)  0.163 B) 0.452 C) 0.204 D)  0.408 <div style=padding-top: 35px> to test the claim that <strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the pooled estimate    Round your answer to the nearest thousandth.  </strong> A)  0.163 B) 0.452 C) 0.204 D)  0.408 <div style=padding-top: 35px> Use the given sample sizes and numbers of successes to find the pooled estimate <strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the pooled estimate    Round your answer to the nearest thousandth.  </strong> A)  0.163 B) 0.452 C) 0.204 D)  0.408 <div style=padding-top: 35px> Round your answer to the nearest thousandth.
<strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the pooled estimate    Round your answer to the nearest thousandth.  </strong> A)  0.163 B) 0.452 C) 0.204 D)  0.408 <div style=padding-top: 35px>

A) 0.163
B) 0.452
C) 0.204
D) 0.408
Question
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the  P -value for the hypothesis test.  </strong> A)  0.1610 B)  0.2130 C)  0.0412 D)  0.7718 <div style=padding-top: 35px> to test the claim that <strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the  P -value for the hypothesis test.  </strong> A)  0.1610 B)  0.2130 C)  0.0412 D)  0.7718 <div style=padding-top: 35px> Use the given sample sizes and numbers of successes to find the P -value for the hypothesis test.
<strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the  P -value for the hypothesis test.  </strong> A)  0.1610 B)  0.2130 C)  0.0412 D)  0.7718 <div style=padding-top: 35px>

A) 0.1610
B) 0.2130
C) 0.0412
D) 0.7718
Question
In the context of a hypothesis test for two proportions, which of the following statements about the pooled sample proportion, <strong>In the context of a hypothesis test for two proportions, which of the following statements about the pooled sample proportion,   is/are true? I. It estimates the common value of   under the assumption of equal proportions. II. It is obtained by averaging the two sample proportions   III. It is equal to the proportion of successes in both samples combined.</strong> A) I and II B) III only C) I, II, and III D) I and III <div style=padding-top: 35px> is/are true?
I. It estimates the common value of <strong>In the context of a hypothesis test for two proportions, which of the following statements about the pooled sample proportion,   is/are true? I. It estimates the common value of   under the assumption of equal proportions. II. It is obtained by averaging the two sample proportions   III. It is equal to the proportion of successes in both samples combined.</strong> A) I and II B) III only C) I, II, and III D) I and III <div style=padding-top: 35px> under the assumption of equal proportions.
II. It is obtained by averaging the two sample proportions <strong>In the context of a hypothesis test for two proportions, which of the following statements about the pooled sample proportion,   is/are true? I. It estimates the common value of   under the assumption of equal proportions. II. It is obtained by averaging the two sample proportions   III. It is equal to the proportion of successes in both samples combined.</strong> A) I and II B) III only C) I, II, and III D) I and III <div style=padding-top: 35px>
III. It is equal to the proportion of successes in both samples combined.

A) I and II
B) III only
C) I, II, and III
D) I and III
Question
Assume that you want to test the claim that the paired sample data come from a population for which the mean difference is <strong>Assume that you want to test the claim that the paired sample data come from a population for which the mean difference is   Compute the value of the  t  test statistics. Round intermediate calculations to four decimal places as needed and final answers to three decimal places as needed.  </strong> A)  t=0.578 B)  t=2.890 C)  t=1.292 D)  t=0.415 <div style=padding-top: 35px>
Compute the value of the t test statistics. Round intermediate calculations to four decimal places as needed and final answers to three decimal places as needed.
<strong>Assume that you want to test the claim that the paired sample data come from a population for which the mean difference is   Compute the value of the  t  test statistics. Round intermediate calculations to four decimal places as needed and final answers to three decimal places as needed.  </strong> A)  t=0.578 B)  t=2.890 C)  t=1.292 D)  t=0.415 <div style=padding-top: 35px>

A) t=0.578
B) t=2.890
C) t=1.292
D) t=0.415
Question
Find the number of successes x suggested by the given statement. A computer manufacturer_ randomly selects 2680 of its computers for quality assurance and finds that 1.98% of these
Computers are found to be defective.

A)56
B)51
C)58
D)53
Question
A test of abstract reasoning is given to a random sample of students before and after they_ completed a formal logic course. The results are given below. Construct a 95% confidence
Interval for the mean difference between the before and after scores.  Before 74837588846393849177 After 73777077746795838475\begin{array} { l l l l l l l l l l l l } \text { Before } & 74 & 83 & 75 & 88 & 84 & 63 & 93 & 84 & 91 & 77 \\\hline \text { After } & 73 & 77 & 70 & 77 & 74 & 67 & 95 & 83 & 84 & 75\end{array}


A) 1.0<μd<6.41.0 < \mu _ { d } < 6.4
B) 0.2<μd<7.20.2 < \mu _ { d } < 7.2
C) 0.8<μd<6.60.8 < \mu _ { d } < 6.6
D) 1.2<μd<8.71.2 < \mu _ { d } < 8.7
Question
Determine whether the samples are dependent or independent. The effectiveness of a_ headache medicine is tested by measuring the intensity of a headache in patients before and
After drug treatment. The data consist of before and after intensities for each patient.

A)Dependent samples
B)Independent samples
Question
When performing a hypothesis test for the ratio of two population variances, the upper critical F value is denoted <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,  can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   can be denoted   Find the critical values   for a two-tailed hypothesis test based on the following values:  n<sub>1</sub>=9, n<sub>2</sub> -7 ,  </strong> A)  0.2150,5.5996 B)  0.2150,4.8232 C)  0.3931,4.1468 D)  0.2411,4.1468 <div style=padding-top: 35px> The lower critical F value,<strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,  can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   can be denoted   Find the critical values   for a two-tailed hypothesis test based on the following values:  n<sub>1</sub>=9, n<sub>2</sub> -7 ,  </strong> A)  0.2150,5.5996 B)  0.2150,4.8232 C)  0.3931,4.1468 D)  0.2411,4.1468 <div style=padding-top: 35px> can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting F value found in Table A-5. <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,  can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   can be denoted   Find the critical values   for a two-tailed hypothesis test based on the following values:  n<sub>1</sub>=9, n<sub>2</sub> -7 ,  </strong> A)  0.2150,5.5996 B)  0.2150,4.8232 C)  0.3931,4.1468 D)  0.2411,4.1468 <div style=padding-top: 35px> can be denoted <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,  can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   can be denoted   Find the critical values   for a two-tailed hypothesis test based on the following values:  n<sub>1</sub>=9, n<sub>2</sub> -7 ,  </strong> A)  0.2150,5.5996 B)  0.2150,4.8232 C)  0.3931,4.1468 D)  0.2411,4.1468 <div style=padding-top: 35px>
can be denoted <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,  can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   can be denoted   Find the critical values   for a two-tailed hypothesis test based on the following values:  n<sub>1</sub>=9, n<sub>2</sub> -7 ,  </strong> A)  0.2150,5.5996 B)  0.2150,4.8232 C)  0.3931,4.1468 D)  0.2411,4.1468 <div style=padding-top: 35px>
Find the critical values <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,  can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   can be denoted   Find the critical values   for a two-tailed hypothesis test based on the following values:  n<sub>1</sub>=9, n<sub>2</sub> -7 ,  </strong> A)  0.2150,5.5996 B)  0.2150,4.8232 C)  0.3931,4.1468 D)  0.2411,4.1468 <div style=padding-top: 35px>
for a two-tailed hypothesis test based on the following values: n1=9, n2 -7 , <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,  can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   can be denoted   Find the critical values   for a two-tailed hypothesis test based on the following values:  n<sub>1</sub>=9, n<sub>2</sub> -7 ,  </strong> A)  0.2150,5.5996 B)  0.2150,4.8232 C)  0.3931,4.1468 D)  0.2411,4.1468 <div style=padding-top: 35px>

A) 0.2150,5.5996
B) 0.2150,4.8232
C) 0.3931,4.1468
D) 0.2411,4.1468
Question
Assume that you want to test the claim that the paired sample data come from a population for which the mean difference is <strong>Assume that you want to test the claim that the paired sample data come from a population for which the mean difference is   Compute the value of the  t  test statistic. Round intermediate calculations to four decimal places as needed and final answers to three decimal places as needed.  </strong> A)  9.468 B)  3.156 C)  0.351 D)  1.052 <div style=padding-top: 35px> Compute the value of the t test statistic. Round intermediate calculations to four decimal places as needed and final answers to three decimal places as needed.
<strong>Assume that you want to test the claim that the paired sample data come from a population for which the mean difference is   Compute the value of the  t  test statistic. Round intermediate calculations to four decimal places as needed and final answers to three decimal places as needed.  </strong> A)  9.468 B)  3.156 C)  0.351 D)  1.052 <div style=padding-top: 35px>

A) 9.468
B) 3.156
C) 0.351
D) 1.052
Question
Assume that the following confidence interval for the difference in the mean time (in minutes) for male students to complete a statistics test (sample 1) and the mean time for female students to complete a statistics test (sample 2) was constructed using independent simple random samples. -0.2 minutes <strong>Assume that the following confidence interval for the difference in the mean time (in minutes) for male students to complete a statistics test (sample 1) and the mean time for female students to complete a statistics test (sample 2) was constructed using independent simple random samples.  -0.2  minutes   What does the confidence interval suggest about the difference in length between male and female test completion times?</strong> A) Male students take longer to complete a statistics test. B) Female students take longer to complete a statistics test. C) There is no difference in the length of time for statistics test completion between male and female students. <div style=padding-top: 35px>
What does the confidence interval suggest about the difference in length between male and female test completion times?

A) Male students take longer to complete a statistics test.
B) Female students take longer to complete a statistics test.
C) There is no difference in the length of time for statistics test completion between male and female students.
Question
Construct a confidence interval for <strong>Construct a confidence interval for   the mean of the differences  d  for the population of paired data. Assume that the population of paired differences is normally distributed. Using the sample paired data below, construct a  90 %  confidence interval for the population mean of all differences.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px> the mean of the differences d for the population of paired data. Assume that the population of paired differences is normally distributed. Using the sample paired data below, construct a 90 % confidence interval for the population mean of all differences.
<strong>Construct a confidence interval for   the mean of the differences  d  for the population of paired data. Assume that the population of paired differences is normally distributed. Using the sample paired data below, construct a  90 %  confidence interval for the population mean of all differences.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>

A) <strong>Construct a confidence interval for   the mean of the differences  d  for the population of paired data. Assume that the population of paired differences is normally distributed. Using the sample paired data below, construct a  90 %  confidence interval for the population mean of all differences.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Construct a confidence interval for   the mean of the differences  d  for the population of paired data. Assume that the population of paired differences is normally distributed. Using the sample paired data below, construct a  90 %  confidence interval for the population mean of all differences.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Construct a confidence interval for   the mean of the differences  d  for the population of paired data. Assume that the population of paired differences is normally distributed. Using the sample paired data below, construct a  90 %  confidence interval for the population mean of all differences.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Construct a confidence interval for   the mean of the differences  d  for the population of paired data. Assume that the population of paired differences is normally distributed. Using the sample paired data below, construct a  90 %  confidence interval for the population mean of all differences.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Assume that two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal.
Which distribution is used to test the claim that mothers spend more time (in minutes)
Driving their kids to activities than fathers do?

A)Normal
B)t
C)chi-square
D)F
Question
Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from
Normally distributed populations. Also assume that the population standard deviations are
Equal (σ1=σ2)\left( \sigma _ { 1 } = \sigma _ { 2 } \right) , so that the standard error of the difference between means is obtained by
Pooling the sample variances. A paint manufacturer wanted to compare the drying times of
Two different types of paint. Independent simple random samples of 11 cans of type A and 9
Cans of type B were selected and applied to similar surfaces. The drying times, in hours,
Were recorded. The summary statistics are as follows.  Type A  Type B xˉ1=71.5hrsxˉ2=68.5hrss1=3.4hrss2=3.6hrsn1=11n2=9\begin{array} { | l | l | } \hline{ \text { Type A } } & { \text { Type B } } \\\hline \bar { x } _ { 1 } = 71.5 \mathrm { hrs } & \bar { x } _ { 2 } = 68.5 \mathrm { hrs } \\\hline s _ { 1 } = 3.4 \mathrm { hrs } & s _ { 2 } = 3.6 \mathrm { hrs } \\\hline n _ { 1 } = 11 & n _ { 2 } = 9 \\\hline\end{array}

Construct a 99%99 \% confidence interval for μ1μ2\mu _ { 1 } - \mu _ { 2 } , the difference between the mean drying time for paint type A\mathrm { A } and the mean drying time for paint type B\mathrm { B } .

A) 1.51hrs<μ1μ2<7.51hrs- 1.51 \mathrm { hrs } < \mu _ { 1 } - \mu _ { 2 } < 7.51 \mathrm { hrs }
B) 2.24hrs<μ1μ2<8.24hrs- 2.24 \mathrm { hrs } < \mu _ { 1 } - \mu _ { 2 } < 8.24 \mathrm { hrs }
C) 1.00hrs<μ1μ2<7.00hrs- 1.00 \mathrm { hrs } < \mu _ { 1 } - \mu _ { 2 } < 7.00 \mathrm { hrs }
D) 0.14hrs<μ1μ2<6.14hrs- 0.14 \mathrm { hrs } < \mu _ { 1 } - \mu _ { 2 } < 6.14 \mathrm { hrs }
Question
Construct a confidence interval for <strong>Construct a confidence interval for   the mean of the differences  d  for the population of paired data. Assume that the population of paired differences is normally distributed. A test of writing ability is given to a random sample of students before and after they completed a formal writing course. The results are given below. Construct a  99 %  confidence interval for the mean difference between the before and after scores.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px> the mean of the differences d for the population of paired data. Assume that the population of paired differences is normally distributed. A test of writing ability is given to a random sample of students before and after they completed a formal writing course. The results are given below. Construct a 99 % confidence interval for the mean difference between the before and after scores.
<strong>Construct a confidence interval for   the mean of the differences  d  for the population of paired data. Assume that the population of paired differences is normally distributed. A test of writing ability is given to a random sample of students before and after they completed a formal writing course. The results are given below. Construct a  99 %  confidence interval for the mean difference between the before and after scores.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>

A) <strong>Construct a confidence interval for   the mean of the differences  d  for the population of paired data. Assume that the population of paired differences is normally distributed. A test of writing ability is given to a random sample of students before and after they completed a formal writing course. The results are given below. Construct a  99 %  confidence interval for the mean difference between the before and after scores.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
B) <strong>Construct a confidence interval for   the mean of the differences  d  for the population of paired data. Assume that the population of paired differences is normally distributed. A test of writing ability is given to a random sample of students before and after they completed a formal writing course. The results are given below. Construct a  99 %  confidence interval for the mean difference between the before and after scores.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
C) <strong>Construct a confidence interval for   the mean of the differences  d  for the population of paired data. Assume that the population of paired differences is normally distributed. A test of writing ability is given to a random sample of students before and after they completed a formal writing course. The results are given below. Construct a  99 %  confidence interval for the mean difference between the before and after scores.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
D) <strong>Construct a confidence interval for   the mean of the differences  d  for the population of paired data. Assume that the population of paired differences is normally distributed. A test of writing ability is given to a random sample of students before and after they completed a formal writing course. The results are given below. Construct a  99 %  confidence interval for the mean difference between the before and after scores.  </strong> A)   B)   C)   D)   <div style=padding-top: 35px>
Question
Determine whether the samples are dependent or independent. The effectiveness of a new_ headache medicine is tested by measuring the amount of time before the headache is cured
For patients who use the medicine and another group of patients who use a placebo drug.

A)Dependent samples
B)Independent samples
Question
If the lengths of male skis and female skis are used to construct a 95 % confidence interval for the difference between the two population means, the result is
14.32 cm <strong>If the lengths of male skis and female skis are used to construct a  95 %  confidence interval for the difference between the two population means, the result is 14.32 cm    where lengths of male skis correspond to population 1 and lengths of female skis correspond to population 2. Express the confidence interval with the lengths of female skis being population 1 and lengths of male skis being population</strong> A)   B)   C)   D) This cannot be determined without having the original data values. <div style=padding-top: 35px>
where lengths of male skis correspond to population 1 and lengths of female skis correspond to population 2. Express the confidence interval with the lengths of female skis being population 1 and lengths of male skis being population

A) <strong>If the lengths of male skis and female skis are used to construct a  95 %  confidence interval for the difference between the two population means, the result is 14.32 cm    where lengths of male skis correspond to population 1 and lengths of female skis correspond to population 2. Express the confidence interval with the lengths of female skis being population 1 and lengths of male skis being population</strong> A)   B)   C)   D) This cannot be determined without having the original data values. <div style=padding-top: 35px>
B) <strong>If the lengths of male skis and female skis are used to construct a  95 %  confidence interval for the difference between the two population means, the result is 14.32 cm    where lengths of male skis correspond to population 1 and lengths of female skis correspond to population 2. Express the confidence interval with the lengths of female skis being population 1 and lengths of male skis being population</strong> A)   B)   C)   D) This cannot be determined without having the original data values. <div style=padding-top: 35px>
C) <strong>If the lengths of male skis and female skis are used to construct a  95 %  confidence interval for the difference between the two population means, the result is 14.32 cm    where lengths of male skis correspond to population 1 and lengths of female skis correspond to population 2. Express the confidence interval with the lengths of female skis being population 1 and lengths of male skis being population</strong> A)   B)   C)   D) This cannot be determined without having the original data values. <div style=padding-top: 35px>
D) This cannot be determined without having the original data values.
Question
Which distribution is used to test the claim that the standard deviation of the lengths (in cm)18)___________ of male babies at birth is equal to the standard deviation of the lengths (in cm)of female
Babies at birth?

A)Normal
B)t
C)chi-square
D)F
Question
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the  P -value for the hypothesis test.  </strong> A)  0.1201 B)  0.0032 C)  0.0001 D)  0.0146 <div style=padding-top: 35px> to test the claim that <strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the  P -value for the hypothesis test.  </strong> A)  0.1201 B)  0.0032 C)  0.0001 D)  0.0146 <div style=padding-top: 35px> Use the given sample sizes and numbers of successes to find the P -value for the hypothesis test.
<strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the  P -value for the hypothesis test.  </strong> A)  0.1201 B)  0.0032 C)  0.0001 D)  0.0146 <div style=padding-top: 35px>

A) 0.1201
B) 0.0032
C) 0.0001
D) 0.0146
Question
A researcher wishes to compare how students at two different schools perform on a math test._
He randomly selects 40 students from each school and obtains their test scores. He pairs the
first score from school A with the first school from school B, the second score from school A
with the second school from school B and so on. He then performs a hypothesis test for
matched pairs. Is this approach valid? Why or why not? If it is not valid, how should the
researcher have proceeded?
Question
Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from
Normally distributed populations. Do not assume that the population standard deviations are
Equal. A paint manufacturer wished to compare the drying times of two different types of
Paint .Independent simple random samples of 11 cans of type A and 9 cans of type B were
Selected and applied to similar surfaces. The drying times, in hours, were recorded. The
Summary statistics are as follows.  Type A  Type B xˉ1=75.7hrsxˉ2=64.3hrss1=4.5hrss2=5.1hrsn1=11n2=9\begin{array} { | l | l | } \hline { \text { Type A } } & { \text { Type B } } \\\hline \bar { x } _ { 1 } = 75.7 \mathrm { hrs } & \bar { x } _ { 2 } = 64.3 \mathrm { hrs } \\\hline s _ { 1 } = 4.5 \mathrm { hrs } & s _ { 2 } = 5.1 \mathrm { hrs } \\\hline n _ { 1 } = 11 & n _ { 2 } = 9 \\\hline\end{array}

Construct a 99%99 \% confidence interval for μ1μ2\mu _ { 1 } - \mu _ { 2 } , the difference between the mean drying time for paint type A and the mean drying time for paint type B\mathrm { B } .

A) 5.85hrs<μ1μ2<16.95hrs5.85 \mathrm { hrs } < \mu _ { 1 } - \mu _ { 2 } < 16.95 \mathrm { hrs }
B) 5.78hrs<μ1μ2<17.02hrs5.78 \mathrm { hrs } < \mu _ { 1 } - \mu _ { 2 } < 17.02 \mathrm { hrs }
C) 5.92hrs<μ1μ2<16.88hrs5.92 \mathrm { hrs } < \mu _ { 1 } - \mu _ { 2 } < 16.88 \mathrm { hrs }
D) 6.08hrs<μ1μ2<16.72hrs6.08 \mathrm { hrs } < \mu _ { 1 } - \mu _ { 2 } < 16.72 \mathrm { hrs }
Question
Express the alternative hypothesis in symbolic form. An automobile technician claims that the mean amount of time (in hours)per domestic car repair is more than that of foreign cars.
Assume that two samples are independent. Let the domestic car repair times be the first
Population and the foreign car repair times be the second population. Express the alternative hypothesis in symbolic form. An automobile technician claims that the mean amount of time (in hours)per domestic car repair is more than that of foreign cars. Assume that two samples are independent. Let the domestic car repair times be the first Population and the foreign car repair times be the second population.  <div style=padding-top: 35px>
Question
Assume that the two samples are independent simple random samples selected from normally
distributed populations. Do not assume that the population standard deviations are equal. A
researcher wishes to determine whether people can reduce their resting heart rate by following
a particular diet. Construct a 95% confidence interval estimate for the following data. Does
the confidence interval support that the mean resting heart rate for those on the diet is lower
than that of those not on the diet? Explain your reasoning. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. A researcher wishes to determine whether people can reduce their resting heart rate by following a particular diet. Construct a 95% confidence interval estimate for the following data. Does the confidence interval support that the mean resting heart rate for those on the diet is lower than that of those not on the diet? Explain your reasoning.  <div style=padding-top: 35px>
Question
Assume
marketing survey involves product recognition in New York and California. Of 558 New
Yorkers surveyed, 193 knew the product while 196 out of 614 Californians knew the product.
At the 0.05 significance level, test the claim that the recognition rates are the same in both
states. Include your null and alternative hypotheses, the test statistic, P-value or critical value(s),
conclusion about the null hypothesis, and conclusion about the claim in your answer.
Question
To test the null hypothesis that the difference between two population proportions is
equal to a nonzero constant c, use the test statistic To test the null hypothesis that the difference between two population proportions is equal to a nonzero constant c, use the test statistic  <div style=padding-top: 35px>
Question
A Dean of Students conducted a survey to test the claim that women spend more time visiting
the STEM lab than men do. A survey was administered to a simple random sample of 15
female student volunteers and 12 male volunteers that asked, "How many minutes have you
spent in the STEM lab this semester?" The results are shown below. A Dean of Students conducted a survey to test the claim that women spend more time visiting the STEM lab than men do. A survey was administered to a simple random sample of 15 female student volunteers and 12 male volunteers that asked, How many minutes have you spent in the STEM lab this semester? The results are shown below.   Test the claim at the 1% level of significance. Assume that the number of minutes that women and men spent in the STEM lab is normally distributed. Do not assume that the population standard deviations are equal. Include your null and alternative hypotheses, the test statistic, P-value or critical value(s), conclusion about the null hypothesis, and conclusion about the claim in your answer.<div style=padding-top: 35px> Test the claim at the 1% level of significance. Assume that the number of minutes that
women and men spent in the STEM lab is normally distributed. Do not assume that the
population standard deviations are equal. Include your null and alternative hypotheses, the
test statistic, P-value or critical value(s), conclusion about the null hypothesis, and conclusion
about the claim in your answer.
Question
Test the given claim about the means of two populations. Assume that two dependent samples
have been randomly selected from normally distributed populations. Test the given claim about the means of two populations. Assume that two dependent samples have been randomly selected from normally distributed populations.   Using a 0.01 level of significance, test the claim that the tutoring has an effect on the math scores. Include your null and alternative hypotheses, the test statistic, P-value or critical value(s), conclusion about the null hypothesis, and conclusion about the claim in your answer.<div style=padding-top: 35px> Using a 0.01 level of significance, test the claim that the tutoring has an effect on the math
scores. Include your null and alternative hypotheses, the test statistic, P-value or critical
value(s), conclusion about the null hypothesis, and conclusion about the claim in your answer.
Question
A researcher wishes to determine whether the blood pressure of vegetarians is, on average,_
lower than the blood pressure of nonvegetarians. Independent simple random samples of 85
vegetarians and 75 nonvegetarians yielded the following sample statistics for systolic blood
pressure: A researcher wishes to determine whether the blood pressure of vegetarians is, on average,_ lower than the blood pressure of nonvegetarians. Independent simple random samples of 85 vegetarians and 75 nonvegetarians yielded the following sample statistics for systolic blood pressure:   Use a significance level of 0.01 to test the claim that the mean systolic blood pressure of vegetarians is lower than the mean systolic blood pressure of nonvegetarians. Include your null and alternative hypotheses, the test statistic, P-value or critical value(s), conclusion about the null hypothesis, and conclusion about the claim in your answer.<div style=padding-top: 35px> Use a significance level of 0.01 to test the claim that the mean systolic blood pressure of
vegetarians is lower than the mean systolic blood pressure of nonvegetarians. Include your null
and alternative hypotheses, the test statistic, P-value or critical value(s), conclusion about the
null hypothesis, and conclusion about the claim in your answer.
Question
Test the indicated claim about the variances or standard deviations of two populations.
Assume that both samples are independent simple random samples from populations having
normal distributions. A random sample of 16 women resulted in blood pressure levels with a
standard deviation of 23 mm Hg. A random sample of 17 men resulted in blood pressure
levels with a standard deviation of 19.2 mm Hg. Use a 0.05 significance level to test the claim
that blood pressure levels for women vary more than blood pressure levels for men. Include
your null and alternative hypotheses, the test statistic, P-value or critical value(s), conclusion
about the null hypothesis, and conclusion about the claim in your answer.
Question
Brian wants to obtain a confidence interval estimate of Brian wants to obtain a confidence interval estimate of   where   represents the proportion of American women who smoke and   represents the proportion of American men who smoke. He randomly selects 100 married couples. Among the 100 women in the sample are 21 smokers. Among the 100 men are 29 smokers. Are the requirements for obtaining a confidence interval estimate of   satisfied? If not, which requirement is not satisfied?<div style=padding-top: 35px> where Brian wants to obtain a confidence interval estimate of   where   represents the proportion of American women who smoke and   represents the proportion of American men who smoke. He randomly selects 100 married couples. Among the 100 women in the sample are 21 smokers. Among the 100 men are 29 smokers. Are the requirements for obtaining a confidence interval estimate of   satisfied? If not, which requirement is not satisfied?<div style=padding-top: 35px> represents the proportion of American women who smoke and Brian wants to obtain a confidence interval estimate of   where   represents the proportion of American women who smoke and   represents the proportion of American men who smoke. He randomly selects 100 married couples. Among the 100 women in the sample are 21 smokers. Among the 100 men are 29 smokers. Are the requirements for obtaining a confidence interval estimate of   satisfied? If not, which requirement is not satisfied?<div style=padding-top: 35px> represents the proportion of American men who smoke. He randomly selects 100 married couples. Among the 100 women in the sample are 21 smokers. Among the 100 men are 29 smokers. Are the requirements for obtaining a confidence interval estimate of Brian wants to obtain a confidence interval estimate of   where   represents the proportion of American women who smoke and   represents the proportion of American men who smoke. He randomly selects 100 married couples. Among the 100 women in the sample are 21 smokers. Among the 100 men are 29 smokers. Are the requirements for obtaining a confidence interval estimate of   satisfied? If not, which requirement is not satisfied?<div style=padding-top: 35px> satisfied? If not, which requirement is not satisfied?
Question
Test the indicated claim about the means of two populations. Assume that the two samples are
independent simple random samples selected from normally distributed populations. Do not
assume that the population standard deviations are equal. A researcher wishes to determine
whether people with high blood pressure can reduce their blood pressure, measured in mm Hg,
by following a particular diet. Use a significance level of 0.01 to test the claim that the treatment
group is from a population with a smaller mean than the control group. Include your null and
alternative hypotheses, the test statistic, P-value or critical value(s), conclusion about the null
hypothesis, and conclusion about the claim in your answer. Test the indicated claim about the means of two populations. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. A researcher wishes to determine whether people with high blood pressure can reduce their blood pressure, measured in mm Hg, by following a particular diet. Use a significance level of 0.01 to test the claim that the treatment group is from a population with a smaller mean than the control group. Include your null and alternative hypotheses, the test statistic, P-value or critical value(s), conclusion about the null hypothesis, and conclusion about the claim in your answer.  <div style=padding-top: 35px>
Question
Test the given claim about the means of two populations. Assume that two dependent samples_
have been randomly selected from normally distributed populations. A test of abstract reasoning
is given to a random sample of students before and after they completed a formal logic course.
The results are given below. At the 0.05 significance level, test the claim that the mean score is
not affected by the course. Include your null and alternative hypotheses, the test statistic, P-value
or critical value(s), conclusion about the null hypothesis, and conclusion about the claim in your
answer. Test the given claim about the means of two populations. Assume that two dependent samples_ have been randomly selected from normally distributed populations. A test of abstract reasoning is given to a random sample of students before and after they completed a formal logic course. The results are given below. At the 0.05 significance level, test the claim that the mean score is not affected by the course. Include your null and alternative hypotheses, the test statistic, P-value or critical value(s), conclusion about the null hypothesis, and conclusion about the claim in your answer.  <div style=padding-top: 35px>
Question
Test the indicated claim about the means of two populations. Assume that the two samples are
independent simple random samples selected from normally distributed populations. Do not
assume that the population standard deviations are equal. Test the indicated claim about the means of two populations. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal.  <div style=padding-top: 35px>
Question
When testing for a difference between the means of a treatment group and a placebo group, the
computer display below is obtained. Using a 0.05 significance level, is there sufficient evidence
to support the claim that the treatment group (variable 1)comes from a population with a mean
that is less than the mean for the placebo population? Explain. When testing for a difference between the means of a treatment group and a placebo group, the computer display below is obtained. Using a 0.05 significance level, is there sufficient evidence to support the claim that the treatment group (variable 1)comes from a population with a mean that is less than the mean for the placebo population? Explain.  <div style=padding-top: 35px>
Question
Identify the test statistic that should be used for testing the following given claims.
a. The mean of the differences between IQ scores of brothers and IQ scores of their sisters is
equal to 0.
b. The proportion of offices with windows is equal to the proportion of offices without
windows.
c. The variation among temperature inside buildings in winter is equal to the variation in the
temperature inside building in summer.
d. The mean age of female math professors is equal to the mean age of male math professors.
Question
Test the given claim about the means of two populations. Assume that two dependent samples_
have been randomly selected from normally distributed populations. A coach uses a new
technique to train gymnasts. 7 gymnasts were randomly selected and their competition scores
were recorded before and after the training. The results are shown below. Test the given claim about the means of two populations. Assume that two dependent samples_ have been randomly selected from normally distributed populations. A coach uses a new technique to train gymnasts. 7 gymnasts were randomly selected and their competition scores were recorded before and after the training. The results are shown below.   Using a 0.01 level of significance, test the claim that the training technique is effective in raising the gymnasts' scores. Include your null and alternative hypotheses, the test statistic, P-value or critical value(s), conclusion about the null hypothesis, and conclusion about the claim in your answer.<div style=padding-top: 35px> Using a 0.01 level of significance, test the claim that the training technique is effective in raising
the gymnasts' scores. Include your null and alternative hypotheses, the test statistic, P-value or
critical value(s), conclusion about the null hypothesis, and conclusion about the claim in your
answer.
Question
Suppose you wish to test a claim about the mean of the differences from dependent samples or_
to construct a confidence interval estimate of the mean of the differences from dependent
samples. What are the requirements?
Question
Test the indicated claim about the means of two populations. Assume that the two samples are
independent simple random samples selected from normally distributed populations. Do not
assume that the population standard deviations are equal. Test the indicated claim about the means of two populations. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal.   Use a 0.05 significance level to test the claim that the mean amount of time spent watching television by women is smaller than the mean amount of time spent watching television by men. Include your null and alternative hypotheses, the test statistic, P-value or critical value(s), conclusion about the null hypothesis, and conclusion about the claim in your answer.<div style=padding-top: 35px> Use a 0.05 significance level to test the claim that the mean amount of time spent watching
television by women is smaller than the mean amount of time spent watching television by
men. Include your null and alternative hypotheses, the test statistic, P-value or critical value(s),
conclusion about the null hypothesis, and conclusion about the claim in your answer.
Question
In a random sample of 300 women, 45% favored stricter DUI legislation. In a random
sample of 200 men, 25% favored stricter DUI legislation. Construct a 95% confidence
interval for the difference between the population proportions In a random sample of 300 women, 45% favored stricter DUI legislation. In a random sample of 200 men, 25% favored stricter DUI legislation. Construct a 95% confidence interval for the difference between the population proportions   . Assume that the samples are independent and that they have been randomly selected.<div style=padding-top: 35px> . Assume that the
samples are independent and that they have been randomly selected.
Question
A random sample of 10 employees of an engineering company was selected. Each employee
was asked to report the number of sick days he/she claimed on Wednesdays and Fridays of
the previous calendar year. Use this information to test the employer's claim that more
employees call in sick on Fridays than on Wednesdays. A random sample of 10 employees of an engineering company was selected. Each employee was asked to report the number of sick days he/she claimed on Wednesdays and Fridays of the previous calendar year. Use this information to test the employer's claim that more employees call in sick on Fridays than on Wednesdays.   Assume that the differences between Wednesday's and Friday's sick day counts is normally distributed.   Include your null and alternative hypotheses, the test statistic, P-value or critical value(s), conclusion about the null hypothesis, and conclusion about the claim in your answer.<div style=padding-top: 35px> Assume that the
differences between Wednesday's and Friday's sick day counts is normally distributed. A random sample of 10 employees of an engineering company was selected. Each employee was asked to report the number of sick days he/she claimed on Wednesdays and Fridays of the previous calendar year. Use this information to test the employer's claim that more employees call in sick on Fridays than on Wednesdays.   Assume that the differences between Wednesday's and Friday's sick day counts is normally distributed.   Include your null and alternative hypotheses, the test statistic, P-value or critical value(s), conclusion about the null hypothesis, and conclusion about the claim in your answer.<div style=padding-top: 35px> Include your null and alternative hypotheses, the test statistic, P-value or critical value(s),
conclusion about the null hypothesis, and conclusion about the claim in your answer.
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Deck 9: Inferences From Two Samples
1
Find Sd.S _d . Consider the set of differences between two dependent sets: 84,85,83,63,61,100,98 . Round to the nearest tenth.

A) 15.3
B) 16.2
C) 15.7
D) 13.1
15.3
2
When performing a hypothesis test for the ratio of two population variances, the upper critical F value is denoted <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,   can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   and    can be denoted   Find the critical values    and    for a two-tailed hypothesis test based on the following values:  </strong> A)  0.7351,2.2378 B)  0.5327,2.2878 C)  0.4745,2.2878 D)  0.4745,2.4371 The lower critical F value, <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,   can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   and    can be denoted   Find the critical values    and    for a two-tailed hypothesis test based on the following values:  </strong> A)  0.7351,2.2378 B)  0.5327,2.2878 C)  0.4745,2.2878 D)  0.4745,2.4371 can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting F value found in Table A-5. <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,   can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   and    can be denoted   Find the critical values    and    for a two-tailed hypothesis test based on the following values:  </strong> A)  0.7351,2.2378 B)  0.5327,2.2878 C)  0.4745,2.2878 D)  0.4745,2.4371 can be denoted <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,   can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   and    can be denoted   Find the critical values    and    for a two-tailed hypothesis test based on the following values:  </strong> A)  0.7351,2.2378 B)  0.5327,2.2878 C)  0.4745,2.2878 D)  0.4745,2.4371 and <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,   can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   and    can be denoted   Find the critical values    and    for a two-tailed hypothesis test based on the following values:  </strong> A)  0.7351,2.2378 B)  0.5327,2.2878 C)  0.4745,2.2878 D)  0.4745,2.4371 can be denoted <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,   can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   and    can be denoted   Find the critical values    and    for a two-tailed hypothesis test based on the following values:  </strong> A)  0.7351,2.2378 B)  0.5327,2.2878 C)  0.4745,2.2878 D)  0.4745,2.4371
Find the critical values <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,   can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   and    can be denoted   Find the critical values    and    for a two-tailed hypothesis test based on the following values:  </strong> A)  0.7351,2.2378 B)  0.5327,2.2878 C)  0.4745,2.2878 D)  0.4745,2.4371 and <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,   can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   and    can be denoted   Find the critical values    and    for a two-tailed hypothesis test based on the following values:  </strong> A)  0.7351,2.2378 B)  0.5327,2.2878 C)  0.4745,2.2878 D)  0.4745,2.4371 for a two-tailed hypothesis test based on the following values: <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,   can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   and    can be denoted   Find the critical values    and    for a two-tailed hypothesis test based on the following values:  </strong> A)  0.7351,2.2378 B)  0.5327,2.2878 C)  0.4745,2.2878 D)  0.4745,2.4371

A) 0.7351,2.2378
B) 0.5327,2.2878
C) 0.4745,2.2878
D) 0.4745,2.4371
0.4745,2.2878
3
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the pooled estimate   Round your answer to the nearest thousandth.  </strong> A)  0.479 B)  0.435 C)  0.305 D)  0.392
to test the claim that <strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the pooled estimate   Round your answer to the nearest thousandth.  </strong> A)  0.479 B)  0.435 C)  0.305 D)  0.392 Use the given sample sizes and numbers of successes to find the pooled estimate <strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the pooled estimate   Round your answer to the nearest thousandth.  </strong> A)  0.479 B)  0.435 C)  0.305 D)  0.392 Round your answer to the nearest thousandth.
<strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the pooled estimate   Round your answer to the nearest thousandth.  </strong> A)  0.479 B)  0.435 C)  0.305 D)  0.392

A) 0.479
B) 0.435
C) 0.305
D) 0.392
0.435
4
Determine whether the samples are independent or dependent. The effectiveness of a headache medicine is tested by measuring the intensity of a headache in patients before and after drug
Treatment. The data consist of before and after intensities for each patient.
<strong>Determine whether the samples are independent or dependent. The effectiveness of a headache medicine is tested by measuring the intensity of a headache in patients before and after drug Treatment. The data consist of before and after intensities for each patient.  </strong> A)Independent samples B)Dependent samples

A)Independent samples
B)Dependent samples
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5
Assume that two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal.
Which distribution is used to test the claim that women have a higher mean resting heart rate
Than men?

A)Normal
B)t
C)chi-square
D)F
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6
Determine whether the following statement regarding the hypothesis test for two population
proportions is true or false:
However small the difference between two population proportions, for sufficiently large
sample sizes, the null hypothesis of equal population proportions is likely to be rejected.
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7
Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Independent samples from two different populations yield the following data.
<strong>Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Independent samples from two different populations yield the following data.   The sample size is 478 for both samples. Find the  85 %  confidence interval for  </strong> A)   B)   C)   D)
The sample size is 478 for both samples. Find the 85 % confidence interval for <strong>Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Independent samples from two different populations yield the following data.   The sample size is 478 for both samples. Find the  85 %  confidence interval for  </strong> A)   B)   C)   D)

A) <strong>Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Independent samples from two different populations yield the following data.   The sample size is 478 for both samples. Find the  85 %  confidence interval for  </strong> A)   B)   C)   D)
B) <strong>Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Independent samples from two different populations yield the following data.   The sample size is 478 for both samples. Find the  85 %  confidence interval for  </strong> A)   B)   C)   D)
C) <strong>Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Independent samples from two different populations yield the following data.   The sample size is 478 for both samples. Find the  85 %  confidence interval for  </strong> A)   B)   C)   D)
D) <strong>Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Independent samples from two different populations yield the following data.   The sample size is 478 for both samples. Find the  85 %  confidence interval for  </strong> A)   B)   C)   D)
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8
Find sd. The differences between two sets of dependent data are 0.4, 0.24, 0.22, 0.26, 0.34._ Round to the nearest hundredth.

A)0.08
B)0.12
C)0.04
D)0.24
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9
A paint manufacturer made a modification to a paint to speed up its drying time. Independent_ simple random samples of 11 cans of type A (the original paint)and 9 cans of type B (the
Modified paint)were selected and applied to similar surfaces. The drying times, in hours, were
Recorded. The summary statistics are as follows. A paint manufacturer made a modification to a paint to speed up its drying time. Independent_ simple random samples of 11 cans of type A (the original paint)and 9 cans of type B (the Modified paint)were selected and applied to similar surfaces. The drying times, in hours, were Recorded. The summary statistics are as follows.
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10
Construct the indicated confidence interval for the difference between the two population_ means. Assume that the two samples are independent simple random samples selected from
Normally distributed populations. Do not assume that the population standard deviations are
Equal. A paint manufacturer wished to compare the drying times of two different types of
Paint. Independent simple random samples of 11 cans of type A and 9 cans of type B were
Selected and applied to similar surfaces. The drying times, in hours, were recorded. The
Summary statistics are as follows.  Type A  Type B xˉ1=75.7hrsxˉ2=64.3hrss1=4.5hrss2=5.1hrsn1=11n2=9\begin{array} { | l | l | } \hline { \text { Type A } } & { \text { Type B } } \\\hline \bar { x } _ { 1 } = 75.7 \mathrm { hrs } & \bar { x } _ { 2 } = 64.3 \mathrm { hrs } \\\hline s _ { 1 } = 4.5 \mathrm { hrs } & s _ { 2 } = 5.1 \mathrm { hrs } \\\hline n _ { 1 } = 11 & n _ { 2 } = 9 \\\hline\end{array}
Construct a 98%98 \% confidence interval for μ1μ2\mu _ { 1 } - \mu _ { 2 } , the difference between the mean drying time for paint of type A\mathrm { A } and the mean drying time for paint of type B\mathrm { B } .

A) 6.08hrs<μ1μ2<16.72hrs6.08 \mathrm { hrs } < \mu _ { 1 } - \mu _ { 2 } < 16.72 \mathrm { hrs }
B) 5.92hrs<μ1μ2<16.88hrs5.92 \mathrm { hrs } < \mu _ { 1 } - \mu _ { 2 } < 16.88 \mathrm { hrs }
C) 5.85hrs<μ1μ2<16.95hrs5.85 \mathrm { hrs } < \mu _ { 1 } - \mu _ { 2 } < 16.95 \mathrm { hrs }
D) 5.78hrs<μ1μ2<17.02hrs5.78 \mathrm { hrs } < \mu _ { 1 } - \mu _ { 2 } < 17.02 \mathrm { hrs }
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11
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the  P -value for the hypothesis test.  </strong> A)  0.7794 B)  0.3897 C)  0.6103 D)  0.2206 to test the claim that <strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the  P -value for the hypothesis test.  </strong> A)  0.7794 B)  0.3897 C)  0.6103 D)  0.2206 Use the given sample sizes and numbers of successes to find the P -value for the hypothesis test.
<strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the  P -value for the hypothesis test.  </strong> A)  0.7794 B)  0.3897 C)  0.6103 D)  0.2206

A) 0.7794
B) 0.3897
C) 0.6103
D) 0.2206
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12
The two data sets are dependent. Find <strong>The two data sets are dependent. Find    to the nearest tenth.  </strong> A)  50.7 B)  23.4 C)  48.8 D)  39.0 to the nearest tenth.
<strong>The two data sets are dependent. Find    to the nearest tenth.  </strong> A)  50.7 B)  23.4 C)  48.8 D)  39.0

A) 50.7
B) 23.4
C) 48.8
D) 39.0
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13
When testing the claim that <strong>When testing the claim that  , a test statistic of  z=2.04  is obtained. Find the  P -value obtained from this test statistic.</strong> A)  0.9586 B)  0.0207 C)  0.9793 D)  0.0414 , a test statistic of z=2.04 is obtained. Find the P -value obtained from this test statistic.

A) 0.9586
B) 0.0207
C) 0.9793
D) 0.0414
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14
Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test; i.e., describe the values of the test statistic that would result in rejection of the null hypothesis. We wish to compare the means of two populations using paired observations. Suppose that <strong>Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test; i.e., describe the values of the test statistic that would result in rejection of the null hypothesis. We wish to compare the means of two populations using paired observations. Suppose that   and that you wish to test the following hypothesis at the 10 %  level of significance:   What decision rule would you use?</strong> A) Reject   if the test statistic is less than  1.415 . B) Reject   if the test statistic is greater than  -1.145 . C) Reject   if the test statistic is greater than  -1.145  or less than  1.415 . D) Reject   if the test statistic is greater than  1.415 . and that you wish to test the following hypothesis at the
10 % level of significance:
<strong>Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test; i.e., describe the values of the test statistic that would result in rejection of the null hypothesis. We wish to compare the means of two populations using paired observations. Suppose that   and that you wish to test the following hypothesis at the 10 %  level of significance:   What decision rule would you use?</strong> A) Reject   if the test statistic is less than  1.415 . B) Reject   if the test statistic is greater than  -1.145 . C) Reject   if the test statistic is greater than  -1.145  or less than  1.415 . D) Reject   if the test statistic is greater than  1.415 .
What decision rule would you use?

A) Reject <strong>Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test; i.e., describe the values of the test statistic that would result in rejection of the null hypothesis. We wish to compare the means of two populations using paired observations. Suppose that   and that you wish to test the following hypothesis at the 10 %  level of significance:   What decision rule would you use?</strong> A) Reject   if the test statistic is less than  1.415 . B) Reject   if the test statistic is greater than  -1.145 . C) Reject   if the test statistic is greater than  -1.145  or less than  1.415 . D) Reject   if the test statistic is greater than  1.415 . if the test statistic is less than 1.415 .
B) Reject <strong>Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test; i.e., describe the values of the test statistic that would result in rejection of the null hypothesis. We wish to compare the means of two populations using paired observations. Suppose that   and that you wish to test the following hypothesis at the 10 %  level of significance:   What decision rule would you use?</strong> A) Reject   if the test statistic is less than  1.415 . B) Reject   if the test statistic is greater than  -1.145 . C) Reject   if the test statistic is greater than  -1.145  or less than  1.415 . D) Reject   if the test statistic is greater than  1.415 . if the test statistic is greater than -1.145 .
C) Reject <strong>Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test; i.e., describe the values of the test statistic that would result in rejection of the null hypothesis. We wish to compare the means of two populations using paired observations. Suppose that   and that you wish to test the following hypothesis at the 10 %  level of significance:   What decision rule would you use?</strong> A) Reject   if the test statistic is less than  1.415 . B) Reject   if the test statistic is greater than  -1.145 . C) Reject   if the test statistic is greater than  -1.145  or less than  1.415 . D) Reject   if the test statistic is greater than  1.415 . if the test statistic is greater than -1.145 or less than 1.415 .
D) Reject <strong>Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test; i.e., describe the values of the test statistic that would result in rejection of the null hypothesis. We wish to compare the means of two populations using paired observations. Suppose that   and that you wish to test the following hypothesis at the 10 %  level of significance:   What decision rule would you use?</strong> A) Reject   if the test statistic is less than  1.415 . B) Reject   if the test statistic is greater than  -1.145 . C) Reject   if the test statistic is greater than  -1.145  or less than  1.415 . D) Reject   if the test statistic is greater than  1.415 . if the test statistic is greater than 1.415 .
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15
Which distribution is used to test the claim that the standard deviation of the ages (in years)of when girls first learn to ride a bike is equal to the standard deviation of the ages (in years)
When boys first lean to ride a bike?

A)Normal
B)t
C)chi-square
D)F
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16
Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test; i.e., describe the values of the test statistic that would result in rejection of the null hypothesis. Suppose you wish to test the claim that <strong>Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test; i.e., describe the values of the test statistic that would result in rejection of the null hypothesis. Suppose you wish to test the claim that   the mean value of the differences  d  for a population of paired data, is greater than 0 . Given a sample of  n=15  and a significance level of   what criterion would be used for rejecting the null hypothesis?</strong> A) Reject null hypothesis if test statistic  <2.624 . B) Reject null hypothesis if test statistic  >2.602 . C) Reject null hypothesis if test statistic  >2.624 . D) Reject null hypothesis if test statistic  >2.977  or  <-2.977 . the mean value of the differences d for a population of paired data, is greater than 0 . Given a sample of n=15 and a significance level of <strong>Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test; i.e., describe the values of the test statistic that would result in rejection of the null hypothesis. Suppose you wish to test the claim that   the mean value of the differences  d  for a population of paired data, is greater than 0 . Given a sample of  n=15  and a significance level of   what criterion would be used for rejecting the null hypothesis?</strong> A) Reject null hypothesis if test statistic  <2.624 . B) Reject null hypothesis if test statistic  >2.602 . C) Reject null hypothesis if test statistic  >2.624 . D) Reject null hypothesis if test statistic  >2.977  or  <-2.977 . what criterion would be used for rejecting the null hypothesis?

A) Reject null hypothesis if test statistic <2.624 .
B) Reject null hypothesis if test statistic >2.602 .
C) Reject null hypothesis if test statistic >2.624 .
D) Reject null hypothesis if test statistic >2.977 or <-2.977 .
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17
Assume that the following confidence interval for the difference in the mean length of male (sample 1) and female babies (sample 2) at birth was constructed using independent simple random samples. -0.2 in <strong>Assume that the following confidence interval for the difference in the mean length of male (sample 1) and female babies (sample 2) at birth was constructed using independent simple random samples.  -0.2  in   What does the confidence interval suggest about the difference in length between male babies and female babies?</strong> A) Male babies are longer. B) Female babies are longer. C) There is no difference in the length between male and female babies.
What does the confidence interval suggest about the difference in length between male babies and female babies?

A) Male babies are longer.
B) Female babies are longer.
C) There is no difference in the length between male and female babies.
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18
If the heights of male college basketball players and female basketball players are used to construct a 95 % confidence interval for the difference between the two population means, the result is 15.35 cm <strong>If the heights of male college basketball players and female basketball players are used to construct a  95 %  confidence interval for the difference between the two population means, the result is  15.35 cm   where heights of male players correspond to population 1 and heights of female players correspond to population 2. Express the confidence interval with heights of female basketball players being population 1 and heights of male basketball players being population 2 .</strong> A)   B)   C)   D) This cannot be determined without having the original data values.
where heights of male players correspond to population 1 and heights of female players correspond to population 2. Express the confidence interval with heights of female basketball players being population 1 and heights of male basketball players being population 2 .

A) <strong>If the heights of male college basketball players and female basketball players are used to construct a  95 %  confidence interval for the difference between the two population means, the result is  15.35 cm   where heights of male players correspond to population 1 and heights of female players correspond to population 2. Express the confidence interval with heights of female basketball players being population 1 and heights of male basketball players being population 2 .</strong> A)   B)   C)   D) This cannot be determined without having the original data values.
B) <strong>If the heights of male college basketball players and female basketball players are used to construct a  95 %  confidence interval for the difference between the two population means, the result is  15.35 cm   where heights of male players correspond to population 1 and heights of female players correspond to population 2. Express the confidence interval with heights of female basketball players being population 1 and heights of male basketball players being population 2 .</strong> A)   B)   C)   D) This cannot be determined without having the original data values.
C) <strong>If the heights of male college basketball players and female basketball players are used to construct a  95 %  confidence interval for the difference between the two population means, the result is  15.35 cm   where heights of male players correspond to population 1 and heights of female players correspond to population 2. Express the confidence interval with heights of female basketball players being population 1 and heights of male basketball players being population 2 .</strong> A)   B)   C)   D) This cannot be determined without having the original data values.
D) This cannot be determined without having the original data values.
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19
Express the alternative hypothesis in symbolic form. of time (in hours)sophomores spent studying for the statistics final exam is more than that of
Freshmen. Assume that the two samples are independent. Let the freshmen be the first
Population and the sophomores be the second population. Express the alternative hypothesis in symbolic form. of time (in hours)sophomores spent studying for the statistics final exam is more than that of Freshmen. Assume that the two samples are independent. Let the freshmen be the first Population and the sophomores be the second population.
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20
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the pooled estimate    Round your answer to the nearest thousandth.  </strong> A)  0.163 B) 0.452 C) 0.204 D)  0.408 to test the claim that <strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the pooled estimate    Round your answer to the nearest thousandth.  </strong> A)  0.163 B) 0.452 C) 0.204 D)  0.408 Use the given sample sizes and numbers of successes to find the pooled estimate <strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the pooled estimate    Round your answer to the nearest thousandth.  </strong> A)  0.163 B) 0.452 C) 0.204 D)  0.408 Round your answer to the nearest thousandth.
<strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the pooled estimate    Round your answer to the nearest thousandth.  </strong> A)  0.163 B) 0.452 C) 0.204 D)  0.408

A) 0.163
B) 0.452
C) 0.204
D) 0.408
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21
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the  P -value for the hypothesis test.  </strong> A)  0.1610 B)  0.2130 C)  0.0412 D)  0.7718 to test the claim that <strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the  P -value for the hypothesis test.  </strong> A)  0.1610 B)  0.2130 C)  0.0412 D)  0.7718 Use the given sample sizes and numbers of successes to find the P -value for the hypothesis test.
<strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the  P -value for the hypothesis test.  </strong> A)  0.1610 B)  0.2130 C)  0.0412 D)  0.7718

A) 0.1610
B) 0.2130
C) 0.0412
D) 0.7718
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22
In the context of a hypothesis test for two proportions, which of the following statements about the pooled sample proportion, <strong>In the context of a hypothesis test for two proportions, which of the following statements about the pooled sample proportion,   is/are true? I. It estimates the common value of   under the assumption of equal proportions. II. It is obtained by averaging the two sample proportions   III. It is equal to the proportion of successes in both samples combined.</strong> A) I and II B) III only C) I, II, and III D) I and III is/are true?
I. It estimates the common value of <strong>In the context of a hypothesis test for two proportions, which of the following statements about the pooled sample proportion,   is/are true? I. It estimates the common value of   under the assumption of equal proportions. II. It is obtained by averaging the two sample proportions   III. It is equal to the proportion of successes in both samples combined.</strong> A) I and II B) III only C) I, II, and III D) I and III under the assumption of equal proportions.
II. It is obtained by averaging the two sample proportions <strong>In the context of a hypothesis test for two proportions, which of the following statements about the pooled sample proportion,   is/are true? I. It estimates the common value of   under the assumption of equal proportions. II. It is obtained by averaging the two sample proportions   III. It is equal to the proportion of successes in both samples combined.</strong> A) I and II B) III only C) I, II, and III D) I and III
III. It is equal to the proportion of successes in both samples combined.

A) I and II
B) III only
C) I, II, and III
D) I and III
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23
Assume that you want to test the claim that the paired sample data come from a population for which the mean difference is <strong>Assume that you want to test the claim that the paired sample data come from a population for which the mean difference is   Compute the value of the  t  test statistics. Round intermediate calculations to four decimal places as needed and final answers to three decimal places as needed.  </strong> A)  t=0.578 B)  t=2.890 C)  t=1.292 D)  t=0.415
Compute the value of the t test statistics. Round intermediate calculations to four decimal places as needed and final answers to three decimal places as needed.
<strong>Assume that you want to test the claim that the paired sample data come from a population for which the mean difference is   Compute the value of the  t  test statistics. Round intermediate calculations to four decimal places as needed and final answers to three decimal places as needed.  </strong> A)  t=0.578 B)  t=2.890 C)  t=1.292 D)  t=0.415

A) t=0.578
B) t=2.890
C) t=1.292
D) t=0.415
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24
Find the number of successes x suggested by the given statement. A computer manufacturer_ randomly selects 2680 of its computers for quality assurance and finds that 1.98% of these
Computers are found to be defective.

A)56
B)51
C)58
D)53
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25
A test of abstract reasoning is given to a random sample of students before and after they_ completed a formal logic course. The results are given below. Construct a 95% confidence
Interval for the mean difference between the before and after scores.  Before 74837588846393849177 After 73777077746795838475\begin{array} { l l l l l l l l l l l l } \text { Before } & 74 & 83 & 75 & 88 & 84 & 63 & 93 & 84 & 91 & 77 \\\hline \text { After } & 73 & 77 & 70 & 77 & 74 & 67 & 95 & 83 & 84 & 75\end{array}


A) 1.0<μd<6.41.0 < \mu _ { d } < 6.4
B) 0.2<μd<7.20.2 < \mu _ { d } < 7.2
C) 0.8<μd<6.60.8 < \mu _ { d } < 6.6
D) 1.2<μd<8.71.2 < \mu _ { d } < 8.7
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26
Determine whether the samples are dependent or independent. The effectiveness of a_ headache medicine is tested by measuring the intensity of a headache in patients before and
After drug treatment. The data consist of before and after intensities for each patient.

A)Dependent samples
B)Independent samples
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27
When performing a hypothesis test for the ratio of two population variances, the upper critical F value is denoted <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,  can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   can be denoted   Find the critical values   for a two-tailed hypothesis test based on the following values:  n<sub>1</sub>=9, n<sub>2</sub> -7 ,  </strong> A)  0.2150,5.5996 B)  0.2150,4.8232 C)  0.3931,4.1468 D)  0.2411,4.1468 The lower critical F value,<strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,  can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   can be denoted   Find the critical values   for a two-tailed hypothesis test based on the following values:  n<sub>1</sub>=9, n<sub>2</sub> -7 ,  </strong> A)  0.2150,5.5996 B)  0.2150,4.8232 C)  0.3931,4.1468 D)  0.2411,4.1468 can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting F value found in Table A-5. <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,  can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   can be denoted   Find the critical values   for a two-tailed hypothesis test based on the following values:  n<sub>1</sub>=9, n<sub>2</sub> -7 ,  </strong> A)  0.2150,5.5996 B)  0.2150,4.8232 C)  0.3931,4.1468 D)  0.2411,4.1468 can be denoted <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,  can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   can be denoted   Find the critical values   for a two-tailed hypothesis test based on the following values:  n<sub>1</sub>=9, n<sub>2</sub> -7 ,  </strong> A)  0.2150,5.5996 B)  0.2150,4.8232 C)  0.3931,4.1468 D)  0.2411,4.1468
can be denoted <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,  can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   can be denoted   Find the critical values   for a two-tailed hypothesis test based on the following values:  n<sub>1</sub>=9, n<sub>2</sub> -7 ,  </strong> A)  0.2150,5.5996 B)  0.2150,4.8232 C)  0.3931,4.1468 D)  0.2411,4.1468
Find the critical values <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,  can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   can be denoted   Find the critical values   for a two-tailed hypothesis test based on the following values:  n<sub>1</sub>=9, n<sub>2</sub> -7 ,  </strong> A)  0.2150,5.5996 B)  0.2150,4.8232 C)  0.3931,4.1468 D)  0.2411,4.1468
for a two-tailed hypothesis test based on the following values: n1=9, n2 -7 , <strong>When performing a hypothesis test for the ratio of two population variances, the upper critical  F  value is denoted   The lower critical  F  value,  can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting  F  value found in Table A-5.   can be denoted   can be denoted   Find the critical values   for a two-tailed hypothesis test based on the following values:  n<sub>1</sub>=9, n<sub>2</sub> -7 ,  </strong> A)  0.2150,5.5996 B)  0.2150,4.8232 C)  0.3931,4.1468 D)  0.2411,4.1468

A) 0.2150,5.5996
B) 0.2150,4.8232
C) 0.3931,4.1468
D) 0.2411,4.1468
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28
Assume that you want to test the claim that the paired sample data come from a population for which the mean difference is <strong>Assume that you want to test the claim that the paired sample data come from a population for which the mean difference is   Compute the value of the  t  test statistic. Round intermediate calculations to four decimal places as needed and final answers to three decimal places as needed.  </strong> A)  9.468 B)  3.156 C)  0.351 D)  1.052 Compute the value of the t test statistic. Round intermediate calculations to four decimal places as needed and final answers to three decimal places as needed.
<strong>Assume that you want to test the claim that the paired sample data come from a population for which the mean difference is   Compute the value of the  t  test statistic. Round intermediate calculations to four decimal places as needed and final answers to three decimal places as needed.  </strong> A)  9.468 B)  3.156 C)  0.351 D)  1.052

A) 9.468
B) 3.156
C) 0.351
D) 1.052
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29
Assume that the following confidence interval for the difference in the mean time (in minutes) for male students to complete a statistics test (sample 1) and the mean time for female students to complete a statistics test (sample 2) was constructed using independent simple random samples. -0.2 minutes <strong>Assume that the following confidence interval for the difference in the mean time (in minutes) for male students to complete a statistics test (sample 1) and the mean time for female students to complete a statistics test (sample 2) was constructed using independent simple random samples.  -0.2  minutes   What does the confidence interval suggest about the difference in length between male and female test completion times?</strong> A) Male students take longer to complete a statistics test. B) Female students take longer to complete a statistics test. C) There is no difference in the length of time for statistics test completion between male and female students.
What does the confidence interval suggest about the difference in length between male and female test completion times?

A) Male students take longer to complete a statistics test.
B) Female students take longer to complete a statistics test.
C) There is no difference in the length of time for statistics test completion between male and female students.
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30
Construct a confidence interval for <strong>Construct a confidence interval for   the mean of the differences  d  for the population of paired data. Assume that the population of paired differences is normally distributed. Using the sample paired data below, construct a  90 %  confidence interval for the population mean of all differences.  </strong> A)   B)   C)   D)   the mean of the differences d for the population of paired data. Assume that the population of paired differences is normally distributed. Using the sample paired data below, construct a 90 % confidence interval for the population mean of all differences.
<strong>Construct a confidence interval for   the mean of the differences  d  for the population of paired data. Assume that the population of paired differences is normally distributed. Using the sample paired data below, construct a  90 %  confidence interval for the population mean of all differences.  </strong> A)   B)   C)   D)

A) <strong>Construct a confidence interval for   the mean of the differences  d  for the population of paired data. Assume that the population of paired differences is normally distributed. Using the sample paired data below, construct a  90 %  confidence interval for the population mean of all differences.  </strong> A)   B)   C)   D)
B) <strong>Construct a confidence interval for   the mean of the differences  d  for the population of paired data. Assume that the population of paired differences is normally distributed. Using the sample paired data below, construct a  90 %  confidence interval for the population mean of all differences.  </strong> A)   B)   C)   D)
C) <strong>Construct a confidence interval for   the mean of the differences  d  for the population of paired data. Assume that the population of paired differences is normally distributed. Using the sample paired data below, construct a  90 %  confidence interval for the population mean of all differences.  </strong> A)   B)   C)   D)
D) <strong>Construct a confidence interval for   the mean of the differences  d  for the population of paired data. Assume that the population of paired differences is normally distributed. Using the sample paired data below, construct a  90 %  confidence interval for the population mean of all differences.  </strong> A)   B)   C)   D)
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31
Assume that two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal.
Which distribution is used to test the claim that mothers spend more time (in minutes)
Driving their kids to activities than fathers do?

A)Normal
B)t
C)chi-square
D)F
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32
Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from
Normally distributed populations. Also assume that the population standard deviations are
Equal (σ1=σ2)\left( \sigma _ { 1 } = \sigma _ { 2 } \right) , so that the standard error of the difference between means is obtained by
Pooling the sample variances. A paint manufacturer wanted to compare the drying times of
Two different types of paint. Independent simple random samples of 11 cans of type A and 9
Cans of type B were selected and applied to similar surfaces. The drying times, in hours,
Were recorded. The summary statistics are as follows.  Type A  Type B xˉ1=71.5hrsxˉ2=68.5hrss1=3.4hrss2=3.6hrsn1=11n2=9\begin{array} { | l | l | } \hline{ \text { Type A } } & { \text { Type B } } \\\hline \bar { x } _ { 1 } = 71.5 \mathrm { hrs } & \bar { x } _ { 2 } = 68.5 \mathrm { hrs } \\\hline s _ { 1 } = 3.4 \mathrm { hrs } & s _ { 2 } = 3.6 \mathrm { hrs } \\\hline n _ { 1 } = 11 & n _ { 2 } = 9 \\\hline\end{array}

Construct a 99%99 \% confidence interval for μ1μ2\mu _ { 1 } - \mu _ { 2 } , the difference between the mean drying time for paint type A\mathrm { A } and the mean drying time for paint type B\mathrm { B } .

A) 1.51hrs<μ1μ2<7.51hrs- 1.51 \mathrm { hrs } < \mu _ { 1 } - \mu _ { 2 } < 7.51 \mathrm { hrs }
B) 2.24hrs<μ1μ2<8.24hrs- 2.24 \mathrm { hrs } < \mu _ { 1 } - \mu _ { 2 } < 8.24 \mathrm { hrs }
C) 1.00hrs<μ1μ2<7.00hrs- 1.00 \mathrm { hrs } < \mu _ { 1 } - \mu _ { 2 } < 7.00 \mathrm { hrs }
D) 0.14hrs<μ1μ2<6.14hrs- 0.14 \mathrm { hrs } < \mu _ { 1 } - \mu _ { 2 } < 6.14 \mathrm { hrs }
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33
Construct a confidence interval for <strong>Construct a confidence interval for   the mean of the differences  d  for the population of paired data. Assume that the population of paired differences is normally distributed. A test of writing ability is given to a random sample of students before and after they completed a formal writing course. The results are given below. Construct a  99 %  confidence interval for the mean difference between the before and after scores.  </strong> A)   B)   C)   D)   the mean of the differences d for the population of paired data. Assume that the population of paired differences is normally distributed. A test of writing ability is given to a random sample of students before and after they completed a formal writing course. The results are given below. Construct a 99 % confidence interval for the mean difference between the before and after scores.
<strong>Construct a confidence interval for   the mean of the differences  d  for the population of paired data. Assume that the population of paired differences is normally distributed. A test of writing ability is given to a random sample of students before and after they completed a formal writing course. The results are given below. Construct a  99 %  confidence interval for the mean difference between the before and after scores.  </strong> A)   B)   C)   D)

A) <strong>Construct a confidence interval for   the mean of the differences  d  for the population of paired data. Assume that the population of paired differences is normally distributed. A test of writing ability is given to a random sample of students before and after they completed a formal writing course. The results are given below. Construct a  99 %  confidence interval for the mean difference between the before and after scores.  </strong> A)   B)   C)   D)
B) <strong>Construct a confidence interval for   the mean of the differences  d  for the population of paired data. Assume that the population of paired differences is normally distributed. A test of writing ability is given to a random sample of students before and after they completed a formal writing course. The results are given below. Construct a  99 %  confidence interval for the mean difference between the before and after scores.  </strong> A)   B)   C)   D)
C) <strong>Construct a confidence interval for   the mean of the differences  d  for the population of paired data. Assume that the population of paired differences is normally distributed. A test of writing ability is given to a random sample of students before and after they completed a formal writing course. The results are given below. Construct a  99 %  confidence interval for the mean difference between the before and after scores.  </strong> A)   B)   C)   D)
D) <strong>Construct a confidence interval for   the mean of the differences  d  for the population of paired data. Assume that the population of paired differences is normally distributed. A test of writing ability is given to a random sample of students before and after they completed a formal writing course. The results are given below. Construct a  99 %  confidence interval for the mean difference between the before and after scores.  </strong> A)   B)   C)   D)
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34
Determine whether the samples are dependent or independent. The effectiveness of a new_ headache medicine is tested by measuring the amount of time before the headache is cured
For patients who use the medicine and another group of patients who use a placebo drug.

A)Dependent samples
B)Independent samples
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35
If the lengths of male skis and female skis are used to construct a 95 % confidence interval for the difference between the two population means, the result is
14.32 cm <strong>If the lengths of male skis and female skis are used to construct a  95 %  confidence interval for the difference between the two population means, the result is 14.32 cm    where lengths of male skis correspond to population 1 and lengths of female skis correspond to population 2. Express the confidence interval with the lengths of female skis being population 1 and lengths of male skis being population</strong> A)   B)   C)   D) This cannot be determined without having the original data values.
where lengths of male skis correspond to population 1 and lengths of female skis correspond to population 2. Express the confidence interval with the lengths of female skis being population 1 and lengths of male skis being population

A) <strong>If the lengths of male skis and female skis are used to construct a  95 %  confidence interval for the difference between the two population means, the result is 14.32 cm    where lengths of male skis correspond to population 1 and lengths of female skis correspond to population 2. Express the confidence interval with the lengths of female skis being population 1 and lengths of male skis being population</strong> A)   B)   C)   D) This cannot be determined without having the original data values.
B) <strong>If the lengths of male skis and female skis are used to construct a  95 %  confidence interval for the difference between the two population means, the result is 14.32 cm    where lengths of male skis correspond to population 1 and lengths of female skis correspond to population 2. Express the confidence interval with the lengths of female skis being population 1 and lengths of male skis being population</strong> A)   B)   C)   D) This cannot be determined without having the original data values.
C) <strong>If the lengths of male skis and female skis are used to construct a  95 %  confidence interval for the difference between the two population means, the result is 14.32 cm    where lengths of male skis correspond to population 1 and lengths of female skis correspond to population 2. Express the confidence interval with the lengths of female skis being population 1 and lengths of male skis being population</strong> A)   B)   C)   D) This cannot be determined without having the original data values.
D) This cannot be determined without having the original data values.
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36
Which distribution is used to test the claim that the standard deviation of the lengths (in cm)18)___________ of male babies at birth is equal to the standard deviation of the lengths (in cm)of female
Babies at birth?

A)Normal
B)t
C)chi-square
D)F
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37
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the  P -value for the hypothesis test.  </strong> A)  0.1201 B)  0.0032 C)  0.0001 D)  0.0146 to test the claim that <strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the  P -value for the hypothesis test.  </strong> A)  0.1201 B)  0.0032 C)  0.0001 D)  0.0146 Use the given sample sizes and numbers of successes to find the P -value for the hypothesis test.
<strong>Assume that you plan to use a significance level of   to test the claim that   Use the given sample sizes and numbers of successes to find the  P -value for the hypothesis test.  </strong> A)  0.1201 B)  0.0032 C)  0.0001 D)  0.0146

A) 0.1201
B) 0.0032
C) 0.0001
D) 0.0146
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38
A researcher wishes to compare how students at two different schools perform on a math test._
He randomly selects 40 students from each school and obtains their test scores. He pairs the
first score from school A with the first school from school B, the second score from school A
with the second school from school B and so on. He then performs a hypothesis test for
matched pairs. Is this approach valid? Why or why not? If it is not valid, how should the
researcher have proceeded?
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39
Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent simple random samples selected from
Normally distributed populations. Do not assume that the population standard deviations are
Equal. A paint manufacturer wished to compare the drying times of two different types of
Paint .Independent simple random samples of 11 cans of type A and 9 cans of type B were
Selected and applied to similar surfaces. The drying times, in hours, were recorded. The
Summary statistics are as follows.  Type A  Type B xˉ1=75.7hrsxˉ2=64.3hrss1=4.5hrss2=5.1hrsn1=11n2=9\begin{array} { | l | l | } \hline { \text { Type A } } & { \text { Type B } } \\\hline \bar { x } _ { 1 } = 75.7 \mathrm { hrs } & \bar { x } _ { 2 } = 64.3 \mathrm { hrs } \\\hline s _ { 1 } = 4.5 \mathrm { hrs } & s _ { 2 } = 5.1 \mathrm { hrs } \\\hline n _ { 1 } = 11 & n _ { 2 } = 9 \\\hline\end{array}

Construct a 99%99 \% confidence interval for μ1μ2\mu _ { 1 } - \mu _ { 2 } , the difference between the mean drying time for paint type A and the mean drying time for paint type B\mathrm { B } .

A) 5.85hrs<μ1μ2<16.95hrs5.85 \mathrm { hrs } < \mu _ { 1 } - \mu _ { 2 } < 16.95 \mathrm { hrs }
B) 5.78hrs<μ1μ2<17.02hrs5.78 \mathrm { hrs } < \mu _ { 1 } - \mu _ { 2 } < 17.02 \mathrm { hrs }
C) 5.92hrs<μ1μ2<16.88hrs5.92 \mathrm { hrs } < \mu _ { 1 } - \mu _ { 2 } < 16.88 \mathrm { hrs }
D) 6.08hrs<μ1μ2<16.72hrs6.08 \mathrm { hrs } < \mu _ { 1 } - \mu _ { 2 } < 16.72 \mathrm { hrs }
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40
Express the alternative hypothesis in symbolic form. An automobile technician claims that the mean amount of time (in hours)per domestic car repair is more than that of foreign cars.
Assume that two samples are independent. Let the domestic car repair times be the first
Population and the foreign car repair times be the second population. Express the alternative hypothesis in symbolic form. An automobile technician claims that the mean amount of time (in hours)per domestic car repair is more than that of foreign cars. Assume that two samples are independent. Let the domestic car repair times be the first Population and the foreign car repair times be the second population.
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41
Assume that the two samples are independent simple random samples selected from normally
distributed populations. Do not assume that the population standard deviations are equal. A
researcher wishes to determine whether people can reduce their resting heart rate by following
a particular diet. Construct a 95% confidence interval estimate for the following data. Does
the confidence interval support that the mean resting heart rate for those on the diet is lower
than that of those not on the diet? Explain your reasoning. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. A researcher wishes to determine whether people can reduce their resting heart rate by following a particular diet. Construct a 95% confidence interval estimate for the following data. Does the confidence interval support that the mean resting heart rate for those on the diet is lower than that of those not on the diet? Explain your reasoning.
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42
Assume
marketing survey involves product recognition in New York and California. Of 558 New
Yorkers surveyed, 193 knew the product while 196 out of 614 Californians knew the product.
At the 0.05 significance level, test the claim that the recognition rates are the same in both
states. Include your null and alternative hypotheses, the test statistic, P-value or critical value(s),
conclusion about the null hypothesis, and conclusion about the claim in your answer.
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43
To test the null hypothesis that the difference between two population proportions is
equal to a nonzero constant c, use the test statistic To test the null hypothesis that the difference between two population proportions is equal to a nonzero constant c, use the test statistic
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44
A Dean of Students conducted a survey to test the claim that women spend more time visiting
the STEM lab than men do. A survey was administered to a simple random sample of 15
female student volunteers and 12 male volunteers that asked, "How many minutes have you
spent in the STEM lab this semester?" The results are shown below. A Dean of Students conducted a survey to test the claim that women spend more time visiting the STEM lab than men do. A survey was administered to a simple random sample of 15 female student volunteers and 12 male volunteers that asked, How many minutes have you spent in the STEM lab this semester? The results are shown below.   Test the claim at the 1% level of significance. Assume that the number of minutes that women and men spent in the STEM lab is normally distributed. Do not assume that the population standard deviations are equal. Include your null and alternative hypotheses, the test statistic, P-value or critical value(s), conclusion about the null hypothesis, and conclusion about the claim in your answer. Test the claim at the 1% level of significance. Assume that the number of minutes that
women and men spent in the STEM lab is normally distributed. Do not assume that the
population standard deviations are equal. Include your null and alternative hypotheses, the
test statistic, P-value or critical value(s), conclusion about the null hypothesis, and conclusion
about the claim in your answer.
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45
Test the given claim about the means of two populations. Assume that two dependent samples
have been randomly selected from normally distributed populations. Test the given claim about the means of two populations. Assume that two dependent samples have been randomly selected from normally distributed populations.   Using a 0.01 level of significance, test the claim that the tutoring has an effect on the math scores. Include your null and alternative hypotheses, the test statistic, P-value or critical value(s), conclusion about the null hypothesis, and conclusion about the claim in your answer. Using a 0.01 level of significance, test the claim that the tutoring has an effect on the math
scores. Include your null and alternative hypotheses, the test statistic, P-value or critical
value(s), conclusion about the null hypothesis, and conclusion about the claim in your answer.
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46
A researcher wishes to determine whether the blood pressure of vegetarians is, on average,_
lower than the blood pressure of nonvegetarians. Independent simple random samples of 85
vegetarians and 75 nonvegetarians yielded the following sample statistics for systolic blood
pressure: A researcher wishes to determine whether the blood pressure of vegetarians is, on average,_ lower than the blood pressure of nonvegetarians. Independent simple random samples of 85 vegetarians and 75 nonvegetarians yielded the following sample statistics for systolic blood pressure:   Use a significance level of 0.01 to test the claim that the mean systolic blood pressure of vegetarians is lower than the mean systolic blood pressure of nonvegetarians. Include your null and alternative hypotheses, the test statistic, P-value or critical value(s), conclusion about the null hypothesis, and conclusion about the claim in your answer. Use a significance level of 0.01 to test the claim that the mean systolic blood pressure of
vegetarians is lower than the mean systolic blood pressure of nonvegetarians. Include your null
and alternative hypotheses, the test statistic, P-value or critical value(s), conclusion about the
null hypothesis, and conclusion about the claim in your answer.
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47
Test the indicated claim about the variances or standard deviations of two populations.
Assume that both samples are independent simple random samples from populations having
normal distributions. A random sample of 16 women resulted in blood pressure levels with a
standard deviation of 23 mm Hg. A random sample of 17 men resulted in blood pressure
levels with a standard deviation of 19.2 mm Hg. Use a 0.05 significance level to test the claim
that blood pressure levels for women vary more than blood pressure levels for men. Include
your null and alternative hypotheses, the test statistic, P-value or critical value(s), conclusion
about the null hypothesis, and conclusion about the claim in your answer.
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48
Brian wants to obtain a confidence interval estimate of Brian wants to obtain a confidence interval estimate of   where   represents the proportion of American women who smoke and   represents the proportion of American men who smoke. He randomly selects 100 married couples. Among the 100 women in the sample are 21 smokers. Among the 100 men are 29 smokers. Are the requirements for obtaining a confidence interval estimate of   satisfied? If not, which requirement is not satisfied? where Brian wants to obtain a confidence interval estimate of   where   represents the proportion of American women who smoke and   represents the proportion of American men who smoke. He randomly selects 100 married couples. Among the 100 women in the sample are 21 smokers. Among the 100 men are 29 smokers. Are the requirements for obtaining a confidence interval estimate of   satisfied? If not, which requirement is not satisfied? represents the proportion of American women who smoke and Brian wants to obtain a confidence interval estimate of   where   represents the proportion of American women who smoke and   represents the proportion of American men who smoke. He randomly selects 100 married couples. Among the 100 women in the sample are 21 smokers. Among the 100 men are 29 smokers. Are the requirements for obtaining a confidence interval estimate of   satisfied? If not, which requirement is not satisfied? represents the proportion of American men who smoke. He randomly selects 100 married couples. Among the 100 women in the sample are 21 smokers. Among the 100 men are 29 smokers. Are the requirements for obtaining a confidence interval estimate of Brian wants to obtain a confidence interval estimate of   where   represents the proportion of American women who smoke and   represents the proportion of American men who smoke. He randomly selects 100 married couples. Among the 100 women in the sample are 21 smokers. Among the 100 men are 29 smokers. Are the requirements for obtaining a confidence interval estimate of   satisfied? If not, which requirement is not satisfied? satisfied? If not, which requirement is not satisfied?
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49
Test the indicated claim about the means of two populations. Assume that the two samples are
independent simple random samples selected from normally distributed populations. Do not
assume that the population standard deviations are equal. A researcher wishes to determine
whether people with high blood pressure can reduce their blood pressure, measured in mm Hg,
by following a particular diet. Use a significance level of 0.01 to test the claim that the treatment
group is from a population with a smaller mean than the control group. Include your null and
alternative hypotheses, the test statistic, P-value or critical value(s), conclusion about the null
hypothesis, and conclusion about the claim in your answer. Test the indicated claim about the means of two populations. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. A researcher wishes to determine whether people with high blood pressure can reduce their blood pressure, measured in mm Hg, by following a particular diet. Use a significance level of 0.01 to test the claim that the treatment group is from a population with a smaller mean than the control group. Include your null and alternative hypotheses, the test statistic, P-value or critical value(s), conclusion about the null hypothesis, and conclusion about the claim in your answer.
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50
Test the given claim about the means of two populations. Assume that two dependent samples_
have been randomly selected from normally distributed populations. A test of abstract reasoning
is given to a random sample of students before and after they completed a formal logic course.
The results are given below. At the 0.05 significance level, test the claim that the mean score is
not affected by the course. Include your null and alternative hypotheses, the test statistic, P-value
or critical value(s), conclusion about the null hypothesis, and conclusion about the claim in your
answer. Test the given claim about the means of two populations. Assume that two dependent samples_ have been randomly selected from normally distributed populations. A test of abstract reasoning is given to a random sample of students before and after they completed a formal logic course. The results are given below. At the 0.05 significance level, test the claim that the mean score is not affected by the course. Include your null and alternative hypotheses, the test statistic, P-value or critical value(s), conclusion about the null hypothesis, and conclusion about the claim in your answer.
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51
Test the indicated claim about the means of two populations. Assume that the two samples are
independent simple random samples selected from normally distributed populations. Do not
assume that the population standard deviations are equal. Test the indicated claim about the means of two populations. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal.
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52
When testing for a difference between the means of a treatment group and a placebo group, the
computer display below is obtained. Using a 0.05 significance level, is there sufficient evidence
to support the claim that the treatment group (variable 1)comes from a population with a mean
that is less than the mean for the placebo population? Explain. When testing for a difference between the means of a treatment group and a placebo group, the computer display below is obtained. Using a 0.05 significance level, is there sufficient evidence to support the claim that the treatment group (variable 1)comes from a population with a mean that is less than the mean for the placebo population? Explain.
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53
Identify the test statistic that should be used for testing the following given claims.
a. The mean of the differences between IQ scores of brothers and IQ scores of their sisters is
equal to 0.
b. The proportion of offices with windows is equal to the proportion of offices without
windows.
c. The variation among temperature inside buildings in winter is equal to the variation in the
temperature inside building in summer.
d. The mean age of female math professors is equal to the mean age of male math professors.
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54
Test the given claim about the means of two populations. Assume that two dependent samples_
have been randomly selected from normally distributed populations. A coach uses a new
technique to train gymnasts. 7 gymnasts were randomly selected and their competition scores
were recorded before and after the training. The results are shown below. Test the given claim about the means of two populations. Assume that two dependent samples_ have been randomly selected from normally distributed populations. A coach uses a new technique to train gymnasts. 7 gymnasts were randomly selected and their competition scores were recorded before and after the training. The results are shown below.   Using a 0.01 level of significance, test the claim that the training technique is effective in raising the gymnasts' scores. Include your null and alternative hypotheses, the test statistic, P-value or critical value(s), conclusion about the null hypothesis, and conclusion about the claim in your answer. Using a 0.01 level of significance, test the claim that the training technique is effective in raising
the gymnasts' scores. Include your null and alternative hypotheses, the test statistic, P-value or
critical value(s), conclusion about the null hypothesis, and conclusion about the claim in your
answer.
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55
Suppose you wish to test a claim about the mean of the differences from dependent samples or_
to construct a confidence interval estimate of the mean of the differences from dependent
samples. What are the requirements?
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56
Test the indicated claim about the means of two populations. Assume that the two samples are
independent simple random samples selected from normally distributed populations. Do not
assume that the population standard deviations are equal. Test the indicated claim about the means of two populations. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal.   Use a 0.05 significance level to test the claim that the mean amount of time spent watching television by women is smaller than the mean amount of time spent watching television by men. Include your null and alternative hypotheses, the test statistic, P-value or critical value(s), conclusion about the null hypothesis, and conclusion about the claim in your answer. Use a 0.05 significance level to test the claim that the mean amount of time spent watching
television by women is smaller than the mean amount of time spent watching television by
men. Include your null and alternative hypotheses, the test statistic, P-value or critical value(s),
conclusion about the null hypothesis, and conclusion about the claim in your answer.
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57
In a random sample of 300 women, 45% favored stricter DUI legislation. In a random
sample of 200 men, 25% favored stricter DUI legislation. Construct a 95% confidence
interval for the difference between the population proportions In a random sample of 300 women, 45% favored stricter DUI legislation. In a random sample of 200 men, 25% favored stricter DUI legislation. Construct a 95% confidence interval for the difference between the population proportions   . Assume that the samples are independent and that they have been randomly selected. . Assume that the
samples are independent and that they have been randomly selected.
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58
A random sample of 10 employees of an engineering company was selected. Each employee
was asked to report the number of sick days he/she claimed on Wednesdays and Fridays of
the previous calendar year. Use this information to test the employer's claim that more
employees call in sick on Fridays than on Wednesdays. A random sample of 10 employees of an engineering company was selected. Each employee was asked to report the number of sick days he/she claimed on Wednesdays and Fridays of the previous calendar year. Use this information to test the employer's claim that more employees call in sick on Fridays than on Wednesdays.   Assume that the differences between Wednesday's and Friday's sick day counts is normally distributed.   Include your null and alternative hypotheses, the test statistic, P-value or critical value(s), conclusion about the null hypothesis, and conclusion about the claim in your answer. Assume that the
differences between Wednesday's and Friday's sick day counts is normally distributed. A random sample of 10 employees of an engineering company was selected. Each employee was asked to report the number of sick days he/she claimed on Wednesdays and Fridays of the previous calendar year. Use this information to test the employer's claim that more employees call in sick on Fridays than on Wednesdays.   Assume that the differences between Wednesday's and Friday's sick day counts is normally distributed.   Include your null and alternative hypotheses, the test statistic, P-value or critical value(s), conclusion about the null hypothesis, and conclusion about the claim in your answer. Include your null and alternative hypotheses, the test statistic, P-value or critical value(s),
conclusion about the null hypothesis, and conclusion about the claim in your answer.
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