Deck 9: Inferences From Two Samples

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Question
<strong>    Find the critical values   for a two-tailed hypothesis test based on the following values:  </strong> A) 0.5327, 2.2878 B) 0.4745, 2.4371 C) 0.7351, 2.2378 D) 0.4745, 2.2878 <div style=padding-top: 35px> <strong>    Find the critical values   for a two-tailed hypothesis test based on the following values:  </strong> A) 0.5327, 2.2878 B) 0.4745, 2.4371 C) 0.7351, 2.2378 D) 0.4745, 2.2878 <div style=padding-top: 35px> Find the critical values <strong>    Find the critical values   for a two-tailed hypothesis test based on the following values:  </strong> A) 0.5327, 2.2878 B) 0.4745, 2.4371 C) 0.7351, 2.2378 D) 0.4745, 2.2878 <div style=padding-top: 35px> for a two-tailed hypothesis test based on the following values: <strong>    Find the critical values   for a two-tailed hypothesis test based on the following values:  </strong> A) 0.5327, 2.2878 B) 0.4745, 2.4371 C) 0.7351, 2.2378 D) 0.4745, 2.2878 <div style=padding-top: 35px>

A) 0.5327, 2.2878
B) 0.4745, 2.4371
C) 0.7351, 2.2378
D) 0.4745, 2.2878
Question
Express the alternative hypothesis in symbolic form. A professor claims that the mean amount 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. A professor claims that the mean amount 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
 <div style=padding-top: 35px>
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 < 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 <   < 19)81 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.   D) This cannot be determined without having the original data values.<div style=padding-top: 35px> <
19)81 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. 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 <   < 19)81 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.   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 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) F
B) chi-square
C) t
D) Normal
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) F
C) t
D) chi-square
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) 0.04
B) 0.24
C) 0.12
D) 0.08
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. 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.   Construct a 98% confidence interval for   , the difference between the mean drying time for paint of type A And the mean drying time for paint of type B.  <div style=padding-top: 35px> Construct a 98% confidence interval for 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.   Construct a 98% confidence interval for   , the difference between the mean drying time for paint of type A And the mean drying time for paint of type B.  <div style=padding-top: 35px> , the difference between the mean drying time for paint of type A
And the mean drying time for paint of type B. 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.   Construct a 98% confidence interval for   , the difference between the mean drying time for paint of type A And the mean drying time for paint of type B.  <div style=padding-top: 35px>
Question
Assume that you plan to use a significance level of α = 0.05 to test the claim that p1 = p2. 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 α = 0.05 to test the claim that p1 = p2. Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.408 B) 0.163 C) 0.204 D) 0.452 <div style=padding-top: 35px> . Round your answer to the nearest thousandth. <strong>Assume that you plan to use a significance level of α = 0.05 to test the claim that p1 = p2. Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.408 B) 0.163 C) 0.204 D) 0.452 <div style=padding-top: 35px>

A) 0.408
B) 0.163
C) 0.204
D) 0.452
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.

A) Dependent samples
B) Independent samples
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   1, 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 < 2.624. C) Reject null hypothesis if test statistic > 2.602. 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   1, 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 < 2.624. C) Reject null hypothesis if test statistic > 2.602. D) Reject null hypothesis if test statistic > 2.977 or < -2.977. <div style=padding-top: 35px> 1, 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 < 2.624.
C) Reject null hypothesis if test statistic > 2.602.
D) Reject null hypothesis if test statistic > 2.977 or < -2.977.
Question
Find <strong>Find   . Consider the set of differences between two dependent sets: 84, 85, 83, 63, 61, 100, 98. Round to the nearest tenth.</strong> A) 13.1 B) 16.2 C) 15.7 D) 15.3 <div style=padding-top: 35px> . Consider the set of differences between two dependent sets: 84, 85, 83, 63, 61, 100, 98. Round to the nearest tenth.

A) 13.1
B) 16.2
C) 15.7
D) 15.3
Question
The two data sets are dependent. Find <strong>The two data sets are dependent. Find   to the nearest tenth.  </strong> A) 39.0 B) 23.4 C) 50.7 D) 48.8 <div style=padding-top: 35px> to the nearest tenth. <strong>The two data sets are dependent. Find   to the nearest tenth.  </strong> A) 39.0 B) 23.4 C) 50.7 D) 48.8 <div style=padding-top: 35px>

A) 39.0
B) 23.4
C) 50.7
D) 48.8
Question
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   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) 0.6103 C) 0.2206 D) 0.3897 <div style=padding-top: 35px> test the claim that <strong>Assume that you plan to use a significance level of   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) 0.6103 C) 0.2206 D) 0.3897 <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   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) 0.6103 C) 0.2206 D) 0.3897 <div style=padding-top: 35px>

A) 0.7794
B) 0.6103
C) 0.2206
D) 0.3897
Question
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   05 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) 0.305 B) 0.435 C) 0.479 D) 0.392 <div style=padding-top: 35px> 05 to test the claim that <strong>Assume that you plan to use a significance level of   05 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) 0.305 B) 0.435 C) 0.479 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   05 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) 0.305 B) 0.435 C) 0.479 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   05 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) 0.305 B) 0.435 C) 0.479 D) 0.392 <div style=padding-top: 35px>

A) 0.305
B) 0.435
C) 0.479
D) 0.392
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 <   < 1.7 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> < 1.7 in. 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
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.

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

A) 0.0414
B) 0.9586
C) 0.0207
D) 0.9793
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   0. 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) t = -0.690 B) t = -1.185 C) t = -1.480 D) t = -0.523 <div style=padding-top: 35px> 0. 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   0. 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) t = -0.690 B) t = -1.185 C) t = -1.480 D) t = -0.523 <div style=padding-top: 35px>

A) t = -0.690
B) t = -1.185
C) t = -1.480
D) t = -0.523
Question
Construct a confidence interval for 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.    <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. 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.    <div style=padding-top: 35px> 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.    <div style=padding-top: 35px>
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) 51
B) 53
C) 58
D) 56
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) 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 mothers spend more time (in minutes) driving their kids to activities than fathers do?

A) F
B) t
C) chi-square
D) Normal
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. <strong>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.   The following 98% confidence interval was obtained for   the difference between the mean drying time for paint Cans of type A and the mean drying time for paint cans of type B:   What does the confidence interval suggest about the population means?</strong> A) The confidence interval includes only positive values which suggests that the mean drying time for paint type A is smaller than the mean drying time for paint type B. The modification does not seem to be Effective in reducing drying times. B) The confidence interval includes 0 which suggests that the two population means might be equal. There doesn't appear to be a significant difference between the mean drying time for paint type A and the mean Drying time for paint type B. The modification does not seem to be effective in reducing drying times. C) The confidence interval includes only positive values which suggests that the mean drying time for paint type A is greater than the mean drying time for paint type B. The modification seems to be effective in Reducing drying times. D) The confidence interval includes only positive values which suggests that the two population means might be equal. There doesn't appear to be a significant difference between the mean drying time for paint Type A and the mean drying time for paint type B. The modification does not seem to be effective in Reducing drying times. <div style=padding-top: 35px> The following 98% confidence interval was obtained for <strong>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.   The following 98% confidence interval was obtained for   the difference between the mean drying time for paint Cans of type A and the mean drying time for paint cans of type B:   What does the confidence interval suggest about the population means?</strong> A) The confidence interval includes only positive values which suggests that the mean drying time for paint type A is smaller than the mean drying time for paint type B. The modification does not seem to be Effective in reducing drying times. B) The confidence interval includes 0 which suggests that the two population means might be equal. There doesn't appear to be a significant difference between the mean drying time for paint type A and the mean Drying time for paint type B. The modification does not seem to be effective in reducing drying times. C) The confidence interval includes only positive values which suggests that the mean drying time for paint type A is greater than the mean drying time for paint type B. The modification seems to be effective in Reducing drying times. D) The confidence interval includes only positive values which suggests that the two population means might be equal. There doesn't appear to be a significant difference between the mean drying time for paint Type A and the mean drying time for paint type B. The modification does not seem to be effective in Reducing drying times. <div style=padding-top: 35px> the difference between the mean drying time for paint
Cans of type A and the mean drying time for paint cans of type B: <strong>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.   The following 98% confidence interval was obtained for   the difference between the mean drying time for paint Cans of type A and the mean drying time for paint cans of type B:   What does the confidence interval suggest about the population means?</strong> A) The confidence interval includes only positive values which suggests that the mean drying time for paint type A is smaller than the mean drying time for paint type B. The modification does not seem to be Effective in reducing drying times. B) The confidence interval includes 0 which suggests that the two population means might be equal. There doesn't appear to be a significant difference between the mean drying time for paint type A and the mean Drying time for paint type B. The modification does not seem to be effective in reducing drying times. C) The confidence interval includes only positive values which suggests that the mean drying time for paint type A is greater than the mean drying time for paint type B. The modification seems to be effective in Reducing drying times. D) The confidence interval includes only positive values which suggests that the two population means might be equal. There doesn't appear to be a significant difference between the mean drying time for paint Type A and the mean drying time for paint type B. The modification does not seem to be effective in Reducing drying times. <div style=padding-top: 35px> What does the confidence interval suggest about the population means?

A) The confidence interval includes only positive values which suggests that the mean drying time for paint type A is smaller than the mean drying time for paint type B. The modification does not seem to be
Effective in reducing drying times.
B) The confidence interval includes 0 which suggests that the two population means might be equal. There doesn't appear to be a significant difference between the mean drying time for paint type A and the mean
Drying time for paint type B. The modification does not seem to be effective in reducing drying times.
C) The confidence interval includes only positive values which suggests that the mean drying time for paint type A is greater than the mean drying time for paint type B. The modification seems to be effective in
Reducing drying times.
D) The confidence interval includes only positive values which suggests that the two population means might be equal. There doesn't appear to be a significant difference between the mean drying time for paint
Type A and the mean drying time for paint type B. The modification does not seem to be effective in
Reducing drying times.
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 = 0.415 B) t = 1.292 C) t = 0.578 D) t = 2.890 <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 = 0.415 B) t = 1.292 C) t = 0.578 D) t = 2.890 <div style=padding-top: 35px>

A) t = 0.415
B) t = 1.292
C) t = 0.578
D) t = 2.890
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. 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.    <div style=padding-top: 35px> 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.    <div style=padding-top: 35px>
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 (sample2) was constructed using independent simple random samples. <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 (sample2) was constructed using independent simple random samples.   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
 <div style=padding-top: 35px>
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. 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.    <div style=padding-top: 35px> 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.    <div style=padding-top: 35px>
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
 <div style=padding-top: 35px>
Question
Construct a confidence interval for µd 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. Construct a confidence interval for µd 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.  <div style=padding-top: 35px>
Question
Which distribution is used to test the claim that the standard deviation of the lengths (in cm) of male babies at birth is equal to the standard deviation of the lengths (in cm) of female babies at birth?

A) Normal
B) chi-square
C) F
D) t
Question
 <div style=padding-top: 35px>
Question
 <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) Independent samples
B) Dependent samples
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) 1.052 D) 0.351 <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) 1.052 D) 0.351 <div style=padding-top: 35px>

A) 9.468
B) 3.156
C) 1.052
D) 0.351
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 ( 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 (   ), 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.    <div style=padding-top: 35px> ), 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. 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 (   ), 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.    <div style=padding-top: 35px> 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 (   ), 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.    <div style=padding-top: 35px>
Question
<strong> </strong> A) 0.0001 B) 0.1201 C) 0.0146 D) 0.0032 <div style=padding-top: 35px>

A) 0.0001
B) 0.1201
C) 0.0146
D) 0.0032
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
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
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
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:   As long as   are both large, the sampling distribution of the test statistic z will be approximately the standard normal distribution. Given the sample data below, test the claim that the proportion of male voters who plan to vote Republican at the next presidential election is 15 percentage points more than the percentage of female voters who plan to vote Republican. Use the P-value method of hypothesis testing and use a significance level of 0.10.  <div style=padding-top: 35px> As long as To test the null hypothesis that the difference between two population proportions is equal to a nonzero constant c, use the test statistic:   As long as   are both large, the sampling distribution of the test statistic z will be approximately the standard normal distribution. Given the sample data below, test the claim that the proportion of male voters who plan to vote Republican at the next presidential election is 15 percentage points more than the percentage of female voters who plan to vote Republican. Use the P-value method of hypothesis testing and use a significance level of 0.10.  <div style=padding-top: 35px> are both large, the sampling distribution of the test statistic z will be approximately the
standard normal distribution. Given the sample data below, test the claim that the proportion of male voters
who plan to vote Republican at the next presidential election is 15 percentage points more than the percentage
of female voters who plan to vote Republican. Use the P-value method of hypothesis testing and use a significance
level of 0.10. To test the null hypothesis that the difference between two population proportions is equal to a nonzero constant c, use the test statistic:   As long as   are both large, the sampling distribution of the test statistic z will be approximately the standard normal distribution. Given the sample data below, test the claim that the proportion of male voters who plan to vote Republican at the next presidential election is 15 percentage points more than the percentage of female voters who plan to vote Republican. Use the P-value method of hypothesis testing and use a significance level of 0.10.  <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 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
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
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
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. When 25
randomly selected customers enter any one of several waiting lines, their waiting times have a standard
deviation of 5.35 minutes. When 16 randomly selected customers enter a single main waiting line, their waiting
times have a standard deviation of 2.2 minutes. Use a 0.05 significance level to test the claim that there is more
variation in the waiting times when several lines are used. 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 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
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
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
Assume that the samples are independent and that they have been randomly selected. A 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
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.
Use 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. Use   5. 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> 5. 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. Use   5. 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.
Question
Brian wants to obtain a confidence interval estimate of Brian wants to obtain a confidence interval estimate of   where p1 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 p1 represents the proportion of American
women who smoke and Brian wants to obtain a confidence interval estimate of   where p1 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 p1 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 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
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
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 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 0.10 significance level to test the claim that the mean GPA of students at college A is different from the mean GPA of students at college B.  <div style=padding-top: 35px> Use a 0.10 significance level to test the claim that the mean GPA of students at college A is different from the mean GPA
of students at college B. 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 0.10 significance level to test the claim that the mean GPA of students at college A is different from the mean GPA of students at college B.  <div style=padding-top: 35px>
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
Solve the problem.
The table shows the number satisfied in their work in a sample of working adults with a college education and in a sample of working adults without a college education. Assume that you plan to use a significance level of α
= 0)05 to test the claim that <strong>Solve the problem. The table shows the number satisfied in their work in a sample of working adults with a college education and in a sample of working adults without a college education. Assume that you plan to use a significance level of α = 0)05 to test the claim that   Find the critical value(s) for this hypothesis test. Do the data provide Sufficient evidence that a greater proportion of those with a college education are satisfied in their work?  </strong> A) z = 1.645; no B) z = -1.645; yes C) z = 1.96; yes D) z = ± 1.96; no <div style=padding-top: 35px> Find the critical value(s) for this hypothesis test. Do the data provide
Sufficient evidence that a greater proportion of those with a college education are satisfied in their work? <strong>Solve the problem. The table shows the number satisfied in their work in a sample of working adults with a college education and in a sample of working adults without a college education. Assume that you plan to use a significance level of α = 0)05 to test the claim that   Find the critical value(s) for this hypothesis test. Do the data provide Sufficient evidence that a greater proportion of those with a college education are satisfied in their work?  </strong> A) z = 1.645; no B) z = -1.645; yes C) z = 1.96; yes D) z = ± 1.96; no <div style=padding-top: 35px>

A) z = 1.645; no
B) z = -1.645; yes
C) z = 1.96; yes
D) z = ± 1.96; no
Question
Solve the problem.
The table shows the number of smokers in a random sample of 500 adults aged 20-24 and the number of smokers in a random sample of 450 adults aged 25-29. Assume that you plan to use a significance level of
Α = 0.10 to test the claim that Solve the problem. The table shows the number of smokers in a random sample of 500 adults aged 20-24 and the number of smokers in a random sample of 450 adults aged 25-29. Assume that you plan to use a significance level of Α = 0.10 to test the claim that   Find the critical value(s) for this hypothesis test. Do the data provide Sufficient evidence that the proportion of smokers in the 20-24 age group is different from the proportion of Smokers in the 25-29 age group?  <div style=padding-top: 35px> Find the critical value(s) for this hypothesis test. Do the data provide
Sufficient evidence that the proportion of smokers in the 20-24 age group is different from the proportion of
Smokers in the 25-29 age group? Solve the problem. The table shows the number of smokers in a random sample of 500 adults aged 20-24 and the number of smokers in a random sample of 450 adults aged 25-29. Assume that you plan to use a significance level of Α = 0.10 to test the claim that   Find the critical value(s) for this hypothesis test. Do the data provide Sufficient evidence that the proportion of smokers in the 20-24 age group is different from the proportion of Smokers in the 25-29 age group?  <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   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.292 B) 0.324 C) 0.227 D) 0.162 <div style=padding-top: 35px> test the claim that p <strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.292 B) 0.324 C) 0.227 D) 0.162 <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   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.292 B) 0.324 C) 0.227 D) 0.162 <div style=padding-top: 35px> . Round your answer to the nearest thousandth.
<strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.292 B) 0.324 C) 0.227 D) 0.162 <div style=padding-top: 35px>

A) 0.292
B) 0.324
C) 0.227
D) 0.162
Question
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.310 B) 0.155 C) 0.388 D) 0.466 <div style=padding-top: 35px> test the claim that p <strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.310 B) 0.155 C) 0.388 D) 0.466 <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   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.310 B) 0.155 C) 0.388 D) 0.466 <div style=padding-top: 35px> . Round your answer to the nearest thousandth.
<strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.310 B) 0.155 C) 0.388 D) 0.466 <div style=padding-top: 35px>

A) 0.310
B) 0.155
C) 0.388
D) 0.466
Question
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   test the claim that p   . Use the given sample sizes and numbers of successes to find the z test statistic for the hypothesis test.  </strong> A) z = 18.096 B) z = 0.399 C) z = 0.703 D) z = 9.744 <div style=padding-top: 35px> test the claim that p <strong>Assume that you plan to use a significance level of   test the claim that p   . Use the given sample sizes and numbers of successes to find the z test statistic for the hypothesis test.  </strong> A) z = 18.096 B) z = 0.399 C) z = 0.703 D) z = 9.744 <div style=padding-top: 35px> . Use the given sample sizes and
numbers of successes to find the z test statistic for the hypothesis test.
<strong>Assume that you plan to use a significance level of   test the claim that p   . Use the given sample sizes and numbers of successes to find the z test statistic for the hypothesis test.  </strong> A) z = 18.096 B) z = 0.399 C) z = 0.703 D) z = 9.744 <div style=padding-top: 35px>

A) z = 18.096
B) z = 0.399
C) z = 0.703
D) z = 9.744
Question
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   test the claim that p   . Use the given sample sizes and numbers of successes to find the z test statistic for the hypothesis test. Information about movie ticket sales was printed in a movie magazine. Out of fifty PG-rated movies, 41% had ticket sales in excess of $3,000,000. Out of thirty-five R-rated movies, 17% grossed over $3,000,000.</strong> A) z = 2.352 B) z = 7.291 C) z = 3.763 D) z = 4.704 <div style=padding-top: 35px> test the claim that p <strong>Assume that you plan to use a significance level of   test the claim that p   . Use the given sample sizes and numbers of successes to find the z test statistic for the hypothesis test. Information about movie ticket sales was printed in a movie magazine. Out of fifty PG-rated movies, 41% had ticket sales in excess of $3,000,000. Out of thirty-five R-rated movies, 17% grossed over $3,000,000.</strong> A) z = 2.352 B) z = 7.291 C) z = 3.763 D) z = 4.704 <div style=padding-top: 35px> . Use the given sample sizes and
numbers of successes to find the z test statistic for the hypothesis test.
Information about movie ticket sales was printed in a movie magazine. Out of fifty PG-rated movies, 41% had ticket sales in excess of $3,000,000. Out of thirty-five R-rated movies, 17% grossed over $3,000,000.

A) z = 2.352
B) z = 7.291
C) z = 3.763
D) z = 4.704
Question
Among 710 people selected randomly from among the eligible voters in one city, 60.6% were homeowners.

A) 431
B) 430
C) 433
D) 427
Question
Among 780 people selected randomly from among the residents of one city, 20.38% were found to be living below the official poverty line.

A) 158
B) 164
C) 159
D) 160
Question
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.408 B) 0.452 C) 0.204 D) 0.163 <div style=padding-top: 35px> test the claim that p <strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.408 B) 0.452 C) 0.204 D) 0.163 <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   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.408 B) 0.452 C) 0.204 D) 0.163 <div style=padding-top: 35px> . Round your answer to the nearest thousandth.
<strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.408 B) 0.452 C) 0.204 D) 0.163 <div style=padding-top: 35px>

A) 0.408
B) 0.452
C) 0.204
D) 0.163
Question
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   test the claim that p   . Use the given sample sizes and numbers of successes to find the z test statistic for the hypothesis test. In a vote on the Clean Water bill, 46% of the 205 Democrats voted for the bill while 48% of the 230 Republicans voted for it.</strong> A) z = -0.417 B) z = -0.250 C) z = -0.459 D) z = -0.354 <div style=padding-top: 35px> test the claim that p <strong>Assume that you plan to use a significance level of   test the claim that p   . Use the given sample sizes and numbers of successes to find the z test statistic for the hypothesis test. In a vote on the Clean Water bill, 46% of the 205 Democrats voted for the bill while 48% of the 230 Republicans voted for it.</strong> A) z = -0.417 B) z = -0.250 C) z = -0.459 D) z = -0.354 <div style=padding-top: 35px> . Use the given sample sizes and
numbers of successes to find the z test statistic for the hypothesis test.
In a vote on the Clean Water bill, 46% of the 205 Democrats voted for the bill while 48% of the 230 Republicans voted for it.

A) z = -0.417
B) z = -0.250
C) z = -0.459
D) z = -0.354
Question
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   test the claim that p   , 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> test the claim that p <strong>Assume that you plan to use a significance level of   test the claim that p   , 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   test the claim that p   , 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   test the claim that p   , 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
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) 58
B) 51
C) 53
D) 56
Question
Solve the problem.
The table shows the number of pitchers with E.R.A's below 3.5 in a random sample of sixty pitchers from the National League and in a random sample of fifty-two pitchers from the American League. Assume that you
Plan to use a significance level of Solve the problem. The table shows the number of pitchers with E.R.A's below 3.5 in a random sample of sixty pitchers from the National League and in a random sample of fifty-two pitchers from the American League. Assume that you Plan to use a significance level of   05 to test the claim that   Find the critical value(s) for this Hypothesis test. Do the data support the claim that the proportion of National League pitchers with an E.R.A. Below 3.5 differs from the proportion of American League pitchers with an E.R.A. below 3.5?  <div style=padding-top: 35px> 05 to test the claim that Solve the problem. The table shows the number of pitchers with E.R.A's below 3.5 in a random sample of sixty pitchers from the National League and in a random sample of fifty-two pitchers from the American League. Assume that you Plan to use a significance level of   05 to test the claim that   Find the critical value(s) for this Hypothesis test. Do the data support the claim that the proportion of National League pitchers with an E.R.A. Below 3.5 differs from the proportion of American League pitchers with an E.R.A. below 3.5?  <div style=padding-top: 35px> Find the critical value(s) for this
Hypothesis test. Do the data support the claim that the proportion of National League pitchers with an E.R.A.
Below 3.5 differs from the proportion of American League pitchers with an E.R.A. below 3.5? Solve the problem. The table shows the number of pitchers with E.R.A's below 3.5 in a random sample of sixty pitchers from the National League and in a random sample of fifty-two pitchers from the American League. Assume that you Plan to use a significance level of   05 to test the claim that   Find the critical value(s) for this Hypothesis test. Do the data support the claim that the proportion of National League pitchers with an E.R.A. Below 3.5 differs from the proportion of American League pitchers with an E.R.A. below 3.5?  <div style=padding-top: 35px>
Question
Among 690 adults selected randomly from among the residents of one town, 23.5% said that they favor stronger gun-control laws.

A) 160
B) 162
C) 163
D) 161
Question
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   test the claim that p   . Use the given sample sizes and numbers of successes to find the z test statistic for the hypothesis test. A report on the nightly news broadcast stated that 10 out of 129 households with pet dogs were burglarized and 23 out of 197 without pet dogs were burglarized.</strong> A) z = -1.148 B) z = -0.002 C) z = -0.459 D) z = -1.952 <div style=padding-top: 35px> test the claim that p <strong>Assume that you plan to use a significance level of   test the claim that p   . Use the given sample sizes and numbers of successes to find the z test statistic for the hypothesis test. A report on the nightly news broadcast stated that 10 out of 129 households with pet dogs were burglarized and 23 out of 197 without pet dogs were burglarized.</strong> A) z = -1.148 B) z = -0.002 C) z = -0.459 D) z = -1.952 <div style=padding-top: 35px> . Use the given sample sizes and
numbers of successes to find the z test statistic for the hypothesis test.
A report on the nightly news broadcast stated that 10 out of 129 households with pet dogs were burglarized and 23 out of 197 without pet dogs were burglarized.

A) z = -1.148
B) z = -0.002
C) z = -0.459
D) z = -1.952
Question
Solve the problem.
The table shows the number of households burglarized in a sample of households with dogs and in a sample of households without dogs. Assume that you plan to use a significance level of <strong>Solve the problem. The table shows the number of households burglarized in a sample of households with dogs and in a sample of households without dogs. Assume that you plan to use a significance level of   01 to test the claim that   . Find the critical value(s) for this hypothesis test. Do the data support the claim that a smaller Proportion of households with pet dogs are burglarized?  </strong> A) z = 2.33; yes B) z = -2.33; no C) z = -2.575; no D) z = -1.96; yes <div style=padding-top: 35px> 01 to test the claim that <strong>Solve the problem. The table shows the number of households burglarized in a sample of households with dogs and in a sample of households without dogs. Assume that you plan to use a significance level of   01 to test the claim that   . Find the critical value(s) for this hypothesis test. Do the data support the claim that a smaller Proportion of households with pet dogs are burglarized?  </strong> A) z = 2.33; yes B) z = -2.33; no C) z = -2.575; no D) z = -1.96; yes <div style=padding-top: 35px> . Find the critical value(s) for this hypothesis test. Do the data support the claim that a smaller
Proportion of households with pet dogs are burglarized? <strong>Solve the problem. The table shows the number of households burglarized in a sample of households with dogs and in a sample of households without dogs. Assume that you plan to use a significance level of   01 to test the claim that   . Find the critical value(s) for this hypothesis test. Do the data support the claim that a smaller Proportion of households with pet dogs are burglarized?  </strong> A) z = 2.33; yes B) z = -2.33; no C) z = -2.575; no D) z = -1.96; yes <div style=padding-top: 35px>

A) z = 2.33; yes
B) z = -2.33; no
C) z = -2.575; no
D) z = -1.96; yes
Question
Among 1350 randomly selected car drivers in one city, 8.74% said that they had been involved in an accident during the past year.

A) 118
B) 117
C) 119
D) 116
Question
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the P-value for the hypothesis test.  </strong> A) 0.1610 B) 0.7718 C) 0.2130 D) 0.0412 <div style=padding-top: 35px> test the claim that p <strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the P-value for the hypothesis test.  </strong> A) 0.1610 B) 0.7718 C) 0.2130 D) 0.0412 <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   test the claim that p   , Use the given sample sizes and numbers of successes to find the P-value for the hypothesis test.  </strong> A) 0.1610 B) 0.7718 C) 0.2130 D) 0.0412 <div style=padding-top: 35px>

A) 0.1610
B) 0.7718
C) 0.2130
D) 0.0412
Question
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.361 B) 0.260 C) 0.163 D) 0.130 <div style=padding-top: 35px> test the claim that p <strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.361 B) 0.260 C) 0.163 D) 0.130 <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   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.361 B) 0.260 C) 0.163 D) 0.130 <div style=padding-top: 35px> . Round your answer to the nearest thousandth.
<strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.361 B) 0.260 C) 0.163 D) 0.130 <div style=padding-top: 35px>

A) 0.361
B) 0.260
C) 0.163
D) 0.130
Question
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   test the claim that p   . Use the given sample sizes and numbers of successes to find the z test statistic for the hypothesis test. A random sampling of sixty pitchers from the National League and fifty-two pitchers from the American League showed that 19 National and 8 American League pitchers had E.R.A's below 3.5.</strong> A) z = 272.163 B) z = 2.009 C) z = 2.612 D) z = 22.404 <div style=padding-top: 35px> test the claim that p <strong>Assume that you plan to use a significance level of   test the claim that p   . Use the given sample sizes and numbers of successes to find the z test statistic for the hypothesis test. A random sampling of sixty pitchers from the National League and fifty-two pitchers from the American League showed that 19 National and 8 American League pitchers had E.R.A's below 3.5.</strong> A) z = 272.163 B) z = 2.009 C) z = 2.612 D) z = 22.404 <div style=padding-top: 35px> . Use the given sample sizes and
numbers of successes to find the z test statistic for the hypothesis test.
A random sampling of sixty pitchers from the National League and fifty-two pitchers from the American League showed that 19 National and 8 American League pitchers had E.R.A's below 3.5.

A) z = 272.163
B) z = 2.009
C) z = 2.612
D) z = 22.404
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Deck 9: Inferences From Two Samples
1
B
2
<strong>    Find the critical values   for a two-tailed hypothesis test based on the following values:  </strong> A) 0.5327, 2.2878 B) 0.4745, 2.4371 C) 0.7351, 2.2378 D) 0.4745, 2.2878 <strong>    Find the critical values   for a two-tailed hypothesis test based on the following values:  </strong> A) 0.5327, 2.2878 B) 0.4745, 2.4371 C) 0.7351, 2.2378 D) 0.4745, 2.2878 Find the critical values <strong>    Find the critical values   for a two-tailed hypothesis test based on the following values:  </strong> A) 0.5327, 2.2878 B) 0.4745, 2.4371 C) 0.7351, 2.2378 D) 0.4745, 2.2878 for a two-tailed hypothesis test based on the following values: <strong>    Find the critical values   for a two-tailed hypothesis test based on the following values:  </strong> A) 0.5327, 2.2878 B) 0.4745, 2.4371 C) 0.7351, 2.2378 D) 0.4745, 2.2878

A) 0.5327, 2.2878
B) 0.4745, 2.4371
C) 0.7351, 2.2378
D) 0.4745, 2.2878
D
3
Express the alternative hypothesis in symbolic form. A professor claims that the mean amount 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. A professor claims that the mean amount 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.
C
4
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5
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 < 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 <   < 19)81 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.   D) This cannot be determined without having the original data values. <
19)81 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. 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 <   < 19)81 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.   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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6
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) F
B) chi-square
C) t
D) Normal
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7
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) F
C) t
D) chi-square
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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) 0.04
B) 0.24
C) 0.12
D) 0.08
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9
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. 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.   Construct a 98% confidence interval for   , the difference between the mean drying time for paint of type A And the mean drying time for paint of type B.  Construct a 98% confidence interval for 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.   Construct a 98% confidence interval for   , the difference between the mean drying time for paint of type A And the mean drying time for paint of type B.  , the difference between the mean drying time for paint of type A
And the mean drying time for paint of type B. 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.   Construct a 98% confidence interval for   , the difference between the mean drying time for paint of type A And the mean drying time for paint of type B.
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10
Assume that you plan to use a significance level of α = 0.05 to test the claim that p1 = p2. 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 α = 0.05 to test the claim that p1 = p2. Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.408 B) 0.163 C) 0.204 D) 0.452 . Round your answer to the nearest thousandth. <strong>Assume that you plan to use a significance level of α = 0.05 to test the claim that p1 = p2. Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.408 B) 0.163 C) 0.204 D) 0.452

A) 0.408
B) 0.163
C) 0.204
D) 0.452
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11
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.

A) Dependent samples
B) Independent samples
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12
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   1, 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 < 2.624. C) Reject null hypothesis if test statistic > 2.602. 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   1, 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 < 2.624. C) Reject null hypothesis if test statistic > 2.602. D) Reject null hypothesis if test statistic > 2.977 or < -2.977. 1, 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 < 2.624.
C) Reject null hypothesis if test statistic > 2.602.
D) Reject null hypothesis if test statistic > 2.977 or < -2.977.
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13
Find <strong>Find   . Consider the set of differences between two dependent sets: 84, 85, 83, 63, 61, 100, 98. Round to the nearest tenth.</strong> A) 13.1 B) 16.2 C) 15.7 D) 15.3 . Consider the set of differences between two dependent sets: 84, 85, 83, 63, 61, 100, 98. Round to the nearest tenth.

A) 13.1
B) 16.2
C) 15.7
D) 15.3
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14
The two data sets are dependent. Find <strong>The two data sets are dependent. Find   to the nearest tenth.  </strong> A) 39.0 B) 23.4 C) 50.7 D) 48.8 to the nearest tenth. <strong>The two data sets are dependent. Find   to the nearest tenth.  </strong> A) 39.0 B) 23.4 C) 50.7 D) 48.8

A) 39.0
B) 23.4
C) 50.7
D) 48.8
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15
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   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) 0.6103 C) 0.2206 D) 0.3897 test the claim that <strong>Assume that you plan to use a significance level of   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) 0.6103 C) 0.2206 D) 0.3897 . 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   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) 0.6103 C) 0.2206 D) 0.3897

A) 0.7794
B) 0.6103
C) 0.2206
D) 0.3897
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16
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   05 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) 0.305 B) 0.435 C) 0.479 D) 0.392 05 to test the claim that <strong>Assume that you plan to use a significance level of   05 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) 0.305 B) 0.435 C) 0.479 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   05 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) 0.305 B) 0.435 C) 0.479 D) 0.392 Round your answer to the nearest thousandth. <strong>Assume that you plan to use a significance level of   05 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) 0.305 B) 0.435 C) 0.479 D) 0.392

A) 0.305
B) 0.435
C) 0.479
D) 0.392
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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 <   < 1.7 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. < 1.7 in. 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
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.

A) True
B) False
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19
When testing the claim that <strong>When testing the claim that   , a test statistic of   2.04 is obtained. Find the P-value obtained from this test statistic.</strong> A) 0.0414 B) 0.9586 C) 0.0207 D) 0.9793 , a test statistic of <strong>When testing the claim that   , a test statistic of   2.04 is obtained. Find the P-value obtained from this test statistic.</strong> A) 0.0414 B) 0.9586 C) 0.0207 D) 0.9793 2.04 is obtained. Find the P-value obtained from this test statistic.

A) 0.0414
B) 0.9586
C) 0.0207
D) 0.9793
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20
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   0. 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) t = -0.690 B) t = -1.185 C) t = -1.480 D) t = -0.523 0. 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   0. 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) t = -0.690 B) t = -1.185 C) t = -1.480 D) t = -0.523

A) t = -0.690
B) t = -1.185
C) t = -1.480
D) t = -0.523
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21
Construct a confidence interval for 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.    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. 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.    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.
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22
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) 51
B) 53
C) 58
D) 56
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23
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) Independent samples
B) Dependent samples
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24
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) F
B) t
C) chi-square
D) Normal
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25
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. <strong>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.   The following 98% confidence interval was obtained for   the difference between the mean drying time for paint Cans of type A and the mean drying time for paint cans of type B:   What does the confidence interval suggest about the population means?</strong> A) The confidence interval includes only positive values which suggests that the mean drying time for paint type A is smaller than the mean drying time for paint type B. The modification does not seem to be Effective in reducing drying times. B) The confidence interval includes 0 which suggests that the two population means might be equal. There doesn't appear to be a significant difference between the mean drying time for paint type A and the mean Drying time for paint type B. The modification does not seem to be effective in reducing drying times. C) The confidence interval includes only positive values which suggests that the mean drying time for paint type A is greater than the mean drying time for paint type B. The modification seems to be effective in Reducing drying times. D) The confidence interval includes only positive values which suggests that the two population means might be equal. There doesn't appear to be a significant difference between the mean drying time for paint Type A and the mean drying time for paint type B. The modification does not seem to be effective in Reducing drying times. The following 98% confidence interval was obtained for <strong>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.   The following 98% confidence interval was obtained for   the difference between the mean drying time for paint Cans of type A and the mean drying time for paint cans of type B:   What does the confidence interval suggest about the population means?</strong> A) The confidence interval includes only positive values which suggests that the mean drying time for paint type A is smaller than the mean drying time for paint type B. The modification does not seem to be Effective in reducing drying times. B) The confidence interval includes 0 which suggests that the two population means might be equal. There doesn't appear to be a significant difference between the mean drying time for paint type A and the mean Drying time for paint type B. The modification does not seem to be effective in reducing drying times. C) The confidence interval includes only positive values which suggests that the mean drying time for paint type A is greater than the mean drying time for paint type B. The modification seems to be effective in Reducing drying times. D) The confidence interval includes only positive values which suggests that the two population means might be equal. There doesn't appear to be a significant difference between the mean drying time for paint Type A and the mean drying time for paint type B. The modification does not seem to be effective in Reducing drying times. the difference between the mean drying time for paint
Cans of type A and the mean drying time for paint cans of type B: <strong>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.   The following 98% confidence interval was obtained for   the difference between the mean drying time for paint Cans of type A and the mean drying time for paint cans of type B:   What does the confidence interval suggest about the population means?</strong> A) The confidence interval includes only positive values which suggests that the mean drying time for paint type A is smaller than the mean drying time for paint type B. The modification does not seem to be Effective in reducing drying times. B) The confidence interval includes 0 which suggests that the two population means might be equal. There doesn't appear to be a significant difference between the mean drying time for paint type A and the mean Drying time for paint type B. The modification does not seem to be effective in reducing drying times. C) The confidence interval includes only positive values which suggests that the mean drying time for paint type A is greater than the mean drying time for paint type B. The modification seems to be effective in Reducing drying times. D) The confidence interval includes only positive values which suggests that the two population means might be equal. There doesn't appear to be a significant difference between the mean drying time for paint Type A and the mean drying time for paint type B. The modification does not seem to be effective in Reducing drying times. What does the confidence interval suggest about the population means?

A) The confidence interval includes only positive values which suggests that the mean drying time for paint type A is smaller than the mean drying time for paint type B. The modification does not seem to be
Effective in reducing drying times.
B) The confidence interval includes 0 which suggests that the two population means might be equal. There doesn't appear to be a significant difference between the mean drying time for paint type A and the mean
Drying time for paint type B. The modification does not seem to be effective in reducing drying times.
C) The confidence interval includes only positive values which suggests that the mean drying time for paint type A is greater than the mean drying time for paint type B. The modification seems to be effective in
Reducing drying times.
D) The confidence interval includes only positive values which suggests that the two population means might be equal. There doesn't appear to be a significant difference between the mean drying time for paint
Type A and the mean drying time for paint type B. The modification does not seem to be effective in
Reducing drying times.
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26
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 = 0.415 B) t = 1.292 C) t = 0.578 D) t = 2.890 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 = 0.415 B) t = 1.292 C) t = 0.578 D) t = 2.890

A) t = 0.415
B) t = 1.292
C) t = 0.578
D) t = 2.890
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27
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. 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.    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.
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28
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 (sample2) was constructed using independent simple random samples. <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 (sample2) was constructed using independent simple random samples.   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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29
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30
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. 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.    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.
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31
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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32
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33
Construct a confidence interval for µd 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. Construct a confidence interval for µd 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.
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34
Which distribution is used to test the claim that the standard deviation of the lengths (in cm) of male babies at birth is equal to the standard deviation of the lengths (in cm) of female babies at birth?

A) Normal
B) chi-square
C) F
D) t
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35
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36
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37
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) Independent samples
B) Dependent samples
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38
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) 1.052 D) 0.351 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) 1.052 D) 0.351

A) 9.468
B) 3.156
C) 1.052
D) 0.351
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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. Also
Assume that the population standard deviations are equal ( 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 (   ), 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.    ), 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. 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 (   ), 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.    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 (   ), 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.
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40
<strong> </strong> A) 0.0001 B) 0.1201 C) 0.0146 D) 0.0032

A) 0.0001
B) 0.1201
C) 0.0146
D) 0.0032
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41
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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42
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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43
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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44
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:   As long as   are both large, the sampling distribution of the test statistic z will be approximately the standard normal distribution. Given the sample data below, test the claim that the proportion of male voters who plan to vote Republican at the next presidential election is 15 percentage points more than the percentage of female voters who plan to vote Republican. Use the P-value method of hypothesis testing and use a significance level of 0.10.  As long as To test the null hypothesis that the difference between two population proportions is equal to a nonzero constant c, use the test statistic:   As long as   are both large, the sampling distribution of the test statistic z will be approximately the standard normal distribution. Given the sample data below, test the claim that the proportion of male voters who plan to vote Republican at the next presidential election is 15 percentage points more than the percentage of female voters who plan to vote Republican. Use the P-value method of hypothesis testing and use a significance level of 0.10.  are both large, the sampling distribution of the test statistic z will be approximately the
standard normal distribution. Given the sample data below, test the claim that the proportion of male voters
who plan to vote Republican at the next presidential election is 15 percentage points more than the percentage
of female voters who plan to vote Republican. Use the P-value method of hypothesis testing and use a significance
level of 0.10. To test the null hypothesis that the difference between two population proportions is equal to a nonzero constant c, use the test statistic:   As long as   are both large, the sampling distribution of the test statistic z will be approximately the standard normal distribution. Given the sample data below, test the claim that the proportion of male voters who plan to vote Republican at the next presidential election is 15 percentage points more than the percentage of female voters who plan to vote Republican. Use the P-value method of hypothesis testing and use a significance level of 0.10.
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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. 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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46
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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47
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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48
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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49
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. When 25
randomly selected customers enter any one of several waiting lines, their waiting times have a standard
deviation of 5.35 minutes. When 16 randomly selected customers enter a single main waiting line, their waiting
times have a standard deviation of 2.2 minutes. Use a 0.05 significance level to test the claim that there is more
variation in the waiting times when several lines are used. 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
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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51
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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52
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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53
Assume that the samples are independent and that they have been randomly selected. A 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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54
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.
Use 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. Use   5. 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. 5. 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. Use   5. 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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55
Brian wants to obtain a confidence interval estimate of Brian wants to obtain a confidence interval estimate of   where p1 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 p1 represents the proportion of American
women who smoke and Brian wants to obtain a confidence interval estimate of   where p1 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 p1 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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56
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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57
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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58
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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59
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 0.10 significance level to test the claim that the mean GPA of students at college A is different from the mean GPA of students at college B.  Use a 0.10 significance level to test the claim that the mean GPA of students at college A is different from the mean GPA
of students at college B. 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 0.10 significance level to test the claim that the mean GPA of students at college A is different from the mean GPA of students at college B.
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60
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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61
Solve the problem.
The table shows the number satisfied in their work in a sample of working adults with a college education and in a sample of working adults without a college education. Assume that you plan to use a significance level of α
= 0)05 to test the claim that <strong>Solve the problem. The table shows the number satisfied in their work in a sample of working adults with a college education and in a sample of working adults without a college education. Assume that you plan to use a significance level of α = 0)05 to test the claim that   Find the critical value(s) for this hypothesis test. Do the data provide Sufficient evidence that a greater proportion of those with a college education are satisfied in their work?  </strong> A) z = 1.645; no B) z = -1.645; yes C) z = 1.96; yes D) z = ± 1.96; no Find the critical value(s) for this hypothesis test. Do the data provide
Sufficient evidence that a greater proportion of those with a college education are satisfied in their work? <strong>Solve the problem. The table shows the number satisfied in their work in a sample of working adults with a college education and in a sample of working adults without a college education. Assume that you plan to use a significance level of α = 0)05 to test the claim that   Find the critical value(s) for this hypothesis test. Do the data provide Sufficient evidence that a greater proportion of those with a college education are satisfied in their work?  </strong> A) z = 1.645; no B) z = -1.645; yes C) z = 1.96; yes D) z = ± 1.96; no

A) z = 1.645; no
B) z = -1.645; yes
C) z = 1.96; yes
D) z = ± 1.96; no
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62
Solve the problem.
The table shows the number of smokers in a random sample of 500 adults aged 20-24 and the number of smokers in a random sample of 450 adults aged 25-29. Assume that you plan to use a significance level of
Α = 0.10 to test the claim that Solve the problem. The table shows the number of smokers in a random sample of 500 adults aged 20-24 and the number of smokers in a random sample of 450 adults aged 25-29. Assume that you plan to use a significance level of Α = 0.10 to test the claim that   Find the critical value(s) for this hypothesis test. Do the data provide Sufficient evidence that the proportion of smokers in the 20-24 age group is different from the proportion of Smokers in the 25-29 age group?  Find the critical value(s) for this hypothesis test. Do the data provide
Sufficient evidence that the proportion of smokers in the 20-24 age group is different from the proportion of
Smokers in the 25-29 age group? Solve the problem. The table shows the number of smokers in a random sample of 500 adults aged 20-24 and the number of smokers in a random sample of 450 adults aged 25-29. Assume that you plan to use a significance level of Α = 0.10 to test the claim that   Find the critical value(s) for this hypothesis test. Do the data provide Sufficient evidence that the proportion of smokers in the 20-24 age group is different from the proportion of Smokers in the 25-29 age group?
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63
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.292 B) 0.324 C) 0.227 D) 0.162 test the claim that p <strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.292 B) 0.324 C) 0.227 D) 0.162 , 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   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.292 B) 0.324 C) 0.227 D) 0.162 . Round your answer to the nearest thousandth.
<strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.292 B) 0.324 C) 0.227 D) 0.162

A) 0.292
B) 0.324
C) 0.227
D) 0.162
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64
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.310 B) 0.155 C) 0.388 D) 0.466 test the claim that p <strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.310 B) 0.155 C) 0.388 D) 0.466 , 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   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.310 B) 0.155 C) 0.388 D) 0.466 . Round your answer to the nearest thousandth.
<strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.310 B) 0.155 C) 0.388 D) 0.466

A) 0.310
B) 0.155
C) 0.388
D) 0.466
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65
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   test the claim that p   . Use the given sample sizes and numbers of successes to find the z test statistic for the hypothesis test.  </strong> A) z = 18.096 B) z = 0.399 C) z = 0.703 D) z = 9.744 test the claim that p <strong>Assume that you plan to use a significance level of   test the claim that p   . Use the given sample sizes and numbers of successes to find the z test statistic for the hypothesis test.  </strong> A) z = 18.096 B) z = 0.399 C) z = 0.703 D) z = 9.744 . Use the given sample sizes and
numbers of successes to find the z test statistic for the hypothesis test.
<strong>Assume that you plan to use a significance level of   test the claim that p   . Use the given sample sizes and numbers of successes to find the z test statistic for the hypothesis test.  </strong> A) z = 18.096 B) z = 0.399 C) z = 0.703 D) z = 9.744

A) z = 18.096
B) z = 0.399
C) z = 0.703
D) z = 9.744
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66
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   test the claim that p   . Use the given sample sizes and numbers of successes to find the z test statistic for the hypothesis test. Information about movie ticket sales was printed in a movie magazine. Out of fifty PG-rated movies, 41% had ticket sales in excess of $3,000,000. Out of thirty-five R-rated movies, 17% grossed over $3,000,000.</strong> A) z = 2.352 B) z = 7.291 C) z = 3.763 D) z = 4.704 test the claim that p <strong>Assume that you plan to use a significance level of   test the claim that p   . Use the given sample sizes and numbers of successes to find the z test statistic for the hypothesis test. Information about movie ticket sales was printed in a movie magazine. Out of fifty PG-rated movies, 41% had ticket sales in excess of $3,000,000. Out of thirty-five R-rated movies, 17% grossed over $3,000,000.</strong> A) z = 2.352 B) z = 7.291 C) z = 3.763 D) z = 4.704 . Use the given sample sizes and
numbers of successes to find the z test statistic for the hypothesis test.
Information about movie ticket sales was printed in a movie magazine. Out of fifty PG-rated movies, 41% had ticket sales in excess of $3,000,000. Out of thirty-five R-rated movies, 17% grossed over $3,000,000.

A) z = 2.352
B) z = 7.291
C) z = 3.763
D) z = 4.704
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67
Among 710 people selected randomly from among the eligible voters in one city, 60.6% were homeowners.

A) 431
B) 430
C) 433
D) 427
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68
Among 780 people selected randomly from among the residents of one city, 20.38% were found to be living below the official poverty line.

A) 158
B) 164
C) 159
D) 160
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69
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.408 B) 0.452 C) 0.204 D) 0.163 test the claim that p <strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.408 B) 0.452 C) 0.204 D) 0.163 , 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   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.408 B) 0.452 C) 0.204 D) 0.163 . Round your answer to the nearest thousandth.
<strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.408 B) 0.452 C) 0.204 D) 0.163

A) 0.408
B) 0.452
C) 0.204
D) 0.163
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70
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   test the claim that p   . Use the given sample sizes and numbers of successes to find the z test statistic for the hypothesis test. In a vote on the Clean Water bill, 46% of the 205 Democrats voted for the bill while 48% of the 230 Republicans voted for it.</strong> A) z = -0.417 B) z = -0.250 C) z = -0.459 D) z = -0.354 test the claim that p <strong>Assume that you plan to use a significance level of   test the claim that p   . Use the given sample sizes and numbers of successes to find the z test statistic for the hypothesis test. In a vote on the Clean Water bill, 46% of the 205 Democrats voted for the bill while 48% of the 230 Republicans voted for it.</strong> A) z = -0.417 B) z = -0.250 C) z = -0.459 D) z = -0.354 . Use the given sample sizes and
numbers of successes to find the z test statistic for the hypothesis test.
In a vote on the Clean Water bill, 46% of the 205 Democrats voted for the bill while 48% of the 230 Republicans voted for it.

A) z = -0.417
B) z = -0.250
C) z = -0.459
D) z = -0.354
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71
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   test the claim that p   , 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 test the claim that p <strong>Assume that you plan to use a significance level of   test the claim that p   , 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   test the claim that p   , 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   test the claim that p   , 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
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72
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) 58
B) 51
C) 53
D) 56
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73
Solve the problem.
The table shows the number of pitchers with E.R.A's below 3.5 in a random sample of sixty pitchers from the National League and in a random sample of fifty-two pitchers from the American League. Assume that you
Plan to use a significance level of Solve the problem. The table shows the number of pitchers with E.R.A's below 3.5 in a random sample of sixty pitchers from the National League and in a random sample of fifty-two pitchers from the American League. Assume that you Plan to use a significance level of   05 to test the claim that   Find the critical value(s) for this Hypothesis test. Do the data support the claim that the proportion of National League pitchers with an E.R.A. Below 3.5 differs from the proportion of American League pitchers with an E.R.A. below 3.5?  05 to test the claim that Solve the problem. The table shows the number of pitchers with E.R.A's below 3.5 in a random sample of sixty pitchers from the National League and in a random sample of fifty-two pitchers from the American League. Assume that you Plan to use a significance level of   05 to test the claim that   Find the critical value(s) for this Hypothesis test. Do the data support the claim that the proportion of National League pitchers with an E.R.A. Below 3.5 differs from the proportion of American League pitchers with an E.R.A. below 3.5?  Find the critical value(s) for this
Hypothesis test. Do the data support the claim that the proportion of National League pitchers with an E.R.A.
Below 3.5 differs from the proportion of American League pitchers with an E.R.A. below 3.5? Solve the problem. The table shows the number of pitchers with E.R.A's below 3.5 in a random sample of sixty pitchers from the National League and in a random sample of fifty-two pitchers from the American League. Assume that you Plan to use a significance level of   05 to test the claim that   Find the critical value(s) for this Hypothesis test. Do the data support the claim that the proportion of National League pitchers with an E.R.A. Below 3.5 differs from the proportion of American League pitchers with an E.R.A. below 3.5?
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74
Among 690 adults selected randomly from among the residents of one town, 23.5% said that they favor stronger gun-control laws.

A) 160
B) 162
C) 163
D) 161
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75
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   test the claim that p   . Use the given sample sizes and numbers of successes to find the z test statistic for the hypothesis test. A report on the nightly news broadcast stated that 10 out of 129 households with pet dogs were burglarized and 23 out of 197 without pet dogs were burglarized.</strong> A) z = -1.148 B) z = -0.002 C) z = -0.459 D) z = -1.952 test the claim that p <strong>Assume that you plan to use a significance level of   test the claim that p   . Use the given sample sizes and numbers of successes to find the z test statistic for the hypothesis test. A report on the nightly news broadcast stated that 10 out of 129 households with pet dogs were burglarized and 23 out of 197 without pet dogs were burglarized.</strong> A) z = -1.148 B) z = -0.002 C) z = -0.459 D) z = -1.952 . Use the given sample sizes and
numbers of successes to find the z test statistic for the hypothesis test.
A report on the nightly news broadcast stated that 10 out of 129 households with pet dogs were burglarized and 23 out of 197 without pet dogs were burglarized.

A) z = -1.148
B) z = -0.002
C) z = -0.459
D) z = -1.952
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76
Solve the problem.
The table shows the number of households burglarized in a sample of households with dogs and in a sample of households without dogs. Assume that you plan to use a significance level of <strong>Solve the problem. The table shows the number of households burglarized in a sample of households with dogs and in a sample of households without dogs. Assume that you plan to use a significance level of   01 to test the claim that   . Find the critical value(s) for this hypothesis test. Do the data support the claim that a smaller Proportion of households with pet dogs are burglarized?  </strong> A) z = 2.33; yes B) z = -2.33; no C) z = -2.575; no D) z = -1.96; yes 01 to test the claim that <strong>Solve the problem. The table shows the number of households burglarized in a sample of households with dogs and in a sample of households without dogs. Assume that you plan to use a significance level of   01 to test the claim that   . Find the critical value(s) for this hypothesis test. Do the data support the claim that a smaller Proportion of households with pet dogs are burglarized?  </strong> A) z = 2.33; yes B) z = -2.33; no C) z = -2.575; no D) z = -1.96; yes . Find the critical value(s) for this hypothesis test. Do the data support the claim that a smaller
Proportion of households with pet dogs are burglarized? <strong>Solve the problem. The table shows the number of households burglarized in a sample of households with dogs and in a sample of households without dogs. Assume that you plan to use a significance level of   01 to test the claim that   . Find the critical value(s) for this hypothesis test. Do the data support the claim that a smaller Proportion of households with pet dogs are burglarized?  </strong> A) z = 2.33; yes B) z = -2.33; no C) z = -2.575; no D) z = -1.96; yes

A) z = 2.33; yes
B) z = -2.33; no
C) z = -2.575; no
D) z = -1.96; yes
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77
Among 1350 randomly selected car drivers in one city, 8.74% said that they had been involved in an accident during the past year.

A) 118
B) 117
C) 119
D) 116
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78
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the P-value for the hypothesis test.  </strong> A) 0.1610 B) 0.7718 C) 0.2130 D) 0.0412 test the claim that p <strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the P-value for the hypothesis test.  </strong> A) 0.1610 B) 0.7718 C) 0.2130 D) 0.0412 , 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   test the claim that p   , Use the given sample sizes and numbers of successes to find the P-value for the hypothesis test.  </strong> A) 0.1610 B) 0.7718 C) 0.2130 D) 0.0412

A) 0.1610
B) 0.7718
C) 0.2130
D) 0.0412
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79
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.361 B) 0.260 C) 0.163 D) 0.130 test the claim that p <strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.361 B) 0.260 C) 0.163 D) 0.130 , 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   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.361 B) 0.260 C) 0.163 D) 0.130 . Round your answer to the nearest thousandth.
<strong>Assume that you plan to use a significance level of   test the claim that p   , Use the given sample sizes and numbers of successes to find the pooled estimate   . Round your answer to the nearest thousandth.  </strong> A) 0.361 B) 0.260 C) 0.163 D) 0.130

A) 0.361
B) 0.260
C) 0.163
D) 0.130
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80
Assume that you plan to use a significance level of <strong>Assume that you plan to use a significance level of   test the claim that p   . Use the given sample sizes and numbers of successes to find the z test statistic for the hypothesis test. A random sampling of sixty pitchers from the National League and fifty-two pitchers from the American League showed that 19 National and 8 American League pitchers had E.R.A's below 3.5.</strong> A) z = 272.163 B) z = 2.009 C) z = 2.612 D) z = 22.404 test the claim that p <strong>Assume that you plan to use a significance level of   test the claim that p   . Use the given sample sizes and numbers of successes to find the z test statistic for the hypothesis test. A random sampling of sixty pitchers from the National League and fifty-two pitchers from the American League showed that 19 National and 8 American League pitchers had E.R.A's below 3.5.</strong> A) z = 272.163 B) z = 2.009 C) z = 2.612 D) z = 22.404 . Use the given sample sizes and
numbers of successes to find the z test statistic for the hypothesis test.
A random sampling of sixty pitchers from the National League and fifty-two pitchers from the American League showed that 19 National and 8 American League pitchers had E.R.A's below 3.5.

A) z = 272.163
B) z = 2.009
C) z = 2.612
D) z = 22.404
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