Exam 9: Inferences From Two Samples

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Find the appropriate p-value to test the null hypothesis, H0: p1 = p2, using a significance level of 0.05. - =50 =50 =3 =7

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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. 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 want to test the claim that the paired sample data come from a population for which the mean difference is μd=0\mu _ { \mathrm { d } } = 0 . Compute the value of the tt test statistic. -The differences between two sets of dependent data are 0.11, 0.21, 0.15, 0.12, 0.14. Round to the nearest hundredth.

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Construct the indicated confidence interval for the difference between the two population means. Assume that the two samples are independent and that they have been randomly selected. -Independent samples from two different populations yield the following data. x1‾=383,x2‾=448\overline { x _ { 1 } } = 383 , \overline { x _ { 2 } } = 448 , s1 =44= 44 , s2 =18= 18 . The sample size is 177 for both samples. Find the 85 percent confidence interval for μ1−μ2\mu _ { 1 } - \mu _ { 2 } .

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Determine whether the samples are independent or consist of matched pairs. -The accuracy of verbal responses is tested in an experiment in which individuals report their heights and then are measured. The data consist of the reported height and measured height for each individual.

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Compute the test statistic used to test the null hypothesis that p1 = p2 - =187 =177 =67 =62

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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 -Suppose you wish to test the claim that μd,\mu _ { \mathrm { d } }, , the mean value of the differences d for a population of paired data, is different from 0. Given a sample of n = 23 and a significance level of α=\alpha = 0.05, what criterion would be used for rejecting the null hypothesis?

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Find the appropriate p-value to test the null hypothesis, H0: p1 = p2, using a significance level of 0.05. - =100 =140 =41 =35

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From the sample statistics, find the value of pˉ\bar{ p} used to test the hypothesis that the population proportions are equal -Among 1450 randomly selected car drivers in one city, 7.52% said that they had been involved in an accident during the past year.

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Use the traditional method of hypothesis testing to 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 in training middle distance runners. The times for 8 different athletes to run 800 meters before and after this training are shown below. Athlete A B C D E F G H Time before 116 115.9 118.6 109.7 111.5 113 119 116 training (seconds) Time AFTER 116.6 114.6 116.2 110.5 109.7 113.1 115.4 112.1 training (seconds) Using a 0.050.05 level of significance, test the claim that the training helps to improve the athletes' times for the 800n800 \mathrm { n }

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Use the traditional method of hypothesis testing to 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. 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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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. -If d=3.125, Sd=2.911\mathrm { d } = 3.125 , \mathrm {~S} _ { \mathrm { d } } = 2.911 , and n=8\mathrm { n } = 8 , determine a 99 percent confidence interval for μd\mu _ { \mathrm { d } } .

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The two data sets are dependent. Find dˉ\bar { d } to the nearest tenth. - 227 189 220 182 246 277 302 217 154 195 153 227 246 284

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Solve the problem. -A researcher wished to perform a hypothesis test to test the claim that the rate of defectives among the computers of two different manufacturers are the same. She selects two independent random samples and obtains the following sample data. Manufacturer A: n1=400\mathrm { n } _ { 1 } = 400 , rate of defectives: 1.5%1.5 \% Manufacturer B: n2=200\mathrm { n } _ { 2 } = 200 , rate of defectives: 3.5%3.5 \% Can the methods of this section be used to perform a hypothesis test to test for the equality of the two population proportions? Go through the steps of checking whether the conditions for the hypothesis test for two population proportions are satisfied. Show your calculations and state your conclusion.

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Determine whether the samples are independent or consist of matched pairs. -The effect of caffeine as an ingredient is tested with a sample of regular soda and another sample with decaffeinated soda.

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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 coach uses a new technique in training middle distance runners. The times for 9 different athletes to run 800 meters before and after this training are shown below. Athlete A B C D E F G H I Time before 115.2 120.9 108.0 112.4 107.5 119.1 121.3 110.8 122.3 training (seconds) Time AFTER 116.0 119.1 105.1 111.9 109.1 115.2 118.5 110.7 120.9 training (seconds) Construct a 99%99 \% confidence interval for the mean difference of the "before" minus "after" times.

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Use the computer display to solve the problem. -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 different from the mean for the placebo population? Explain. t-Test: Two Sample for Means 1 Variable 1 Variable 2 2 Mean 65.10738 66.18251 3 Known Variance 8.102938 10.27387 4 Observations 50 50 5 Hypothesized Mean Difference 0 6 t -1.773417 7 P(T<=t) one-tail 0.0384 8 TCritical one-tail 1.644853 9 P(T<=t) two-tail 0.0768 10 tCritical two-tail 1.959961

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Compute the test statistic used to test the null hypothesis that p1 = p2 - =719 =3852 =101 =612

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Use the computer display to solve the problem. -When testing for a difference between the means of a treatment group and a placebo group, the computer display below is obtained. Using a 0.01 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 greater than the mean for the placebo population? Explain. t-Test: Two Sample for Means 1 Variable 1 Variable 2 2 Mean 171.6392 168.7718 3 Known Variance 47.51672 41.08293 4 Observations 50 50 5 Hypothesized Mean Difference 0 6 t 2.154057 7 P(T>=t) one-tail 0.0158 8 TCritical one-tail 1.644853 9 P(T>=t) two-tail 0.0316 10 tCritical two-tail 1.959961

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Use the traditional method of hypothesis testing to test the given claim about the means of two populations. Assume that two dependent samples have been randomly selected from normally distributed populations. -The table below shows the weights of seven subjects before and after following a particular diet for two months. Subject A B C D E F G Before 157 160 156 183 190 157 161 After 150 151 154 188 176 159 149 Using a 0.01 level of significance, test the claim that the diet is effective in reducing weight.

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