Exam 9: Inferences From Two Samples

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Find SdS _ { d } Consider the set of differences between two dependent sets: 84,85,83,63,61,100,98 . Round to the nearest tenth.

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When performing a hypothesis test for the ratio of two population variances, the upper critical F value is denoted FRF _ { R } The lower critical F value, FL,F _ { \mathrm { L } , } can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting F value found in Table A-5. FˉB\bar { F } _ { B } can be denoted Fα/2F _ { \alpha / 2 } and FLF _ { L } can be denoted F1−α/2F _ { 1 - \alpha / 2 } Find the critical values FLF _ { L } and FRF _ { R } for a two-tailed hypothesis test based on the following values: n1=25,n2=16,α=0.10n _ { 1 } = 25 , n _ { 2 } = 16 , \alpha = 0.10

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Assume that you want to test the claim that the paired sample data come from a population for which the mean difference is μd=0\mu _ { d } = 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. Subject A B C D E F G H I Before 168 180 157 132 202 124 190 210 171 After 162 178 145 125 171 126 180 195 163

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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?

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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.

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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. Before 74 83 75 88 84 63 93 84 91 77 After 73 77 70 77 74 67 95 83 84 75

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If the lengths of male skis and female skis are used to construct a 95% confidence interval for the difference between the two population means, the result is 14.32 cm <μ1−μ2<21.95 cm< \mu _ { 1 } - \mu _ { 2 } < 21.95 \mathrm {~cm} where lengths of male skis correspond to population 1 and engths of female skis correspond to population 2. Express the confidence interval with the engths of female skis being population 1 and lengths of male skis being population

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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  \mu _ { 1 } - \mu _ { 2 }  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 μ1−μ2\mu _ { 1 } - \mu _ { 2 } 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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Determine the decision criterion for rejecting the null hypothesis in the given hypothesis test; i.e., describe the values of the test statistic that would result in rejection of the null hypothesis. We wish to compare the means of two populations using paired observations. Suppose that dˉ=3.125,sd=2.911\bar { d } = 3.125 , s _ { d } = 2.911 and n=8 , and that you wish to test the following hypothesis at the 10 % level of significance: H0:μd=0 against H1:μd>0H _ { 0 } : \mu _ { d } = 0 \text { against } H _ { 1 } : \mu _ { d } > 0 What decision rule would you use?

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In the context of a hypothesis test for two proportions, which of the following statements about the pooled sample proportion, pˉ,\bar { p } , is/are true? I. It estimates the common value of text p1p _ { 1 } and p2p _ { 2 } under the assumption of equal proportions. II. It is obtained by averaging the two sample proportions p^\hat { p } and p^2\hat { p } _ { 2 } III. It is equal to the proportion of successes in both samples combined.

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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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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.

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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 p1−p2p _ { 1 } - p _ { 2 } . Assume that the samples are independent and that they have been randomly selected.

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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.

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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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Construct a confidence interval for μd\mu _ { d } , the mean of the differences dd 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. Before 70 80 92 99 93 97 76 63 68 71 74 After 69 79 90 96 91 95 75 64 62 64 76

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Assume that you plan to use a significance level of α=0.05\alpha = 0.05 to test the claim that p1=p2p _ { 1 } = p _ { 2 } Use the given sample sizes and numbers of successes to find the pooled estimate pˉ\bar { p } Round your answer to the nearest thousandth. =100 =100 =42 =45

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Assume marketing survey involves product recognition in New York and California. Of 558 New Yorkers surveyed, 193 knew the product while 196 out of 614 Californians knew the product. At the 0.05 significance level, test the claim that the recognition rates are the same in both states. Include your null and alternative hypotheses, the test statistic, P-value or critical value(s), conclusion about the null hypothesis, and conclusion about the claim in your answer.

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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.

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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?

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