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SAMPLE PROBLEM 5A--MEAN MILES-PER-GALLON OF TWO AUTOMOBILES 1. Use spreadsheet << Z12MEANS >> to conduct estimation and hypothesis testing on the population mean miles-per-gallon of two different automobiles. Each car was fitted with an automatic miles-per-gallon computing device, and was driven by the same driver over the same 40-mile route each day for 50 consecutive days. On half of the days, car X was driven first, and on the other half of the days, car Y was driven first. Car X Car Y Sample Size 60 50 Sample Mean 28.44 27.50 Estimated Population Standard Deviation 5.32 5.03 a. The point estimate of the population mean is: Car X: 28.44 Car Y: 27.50 b. The sampling standard deviation (standard error) of the sample means is: Car X: 0.686809 Car Y: 0.711349 c. The 95% confidence interval for the population mean is: (use point estimate ± error factor format, not LCL and UCL) Car X: μx = 28.44 ± 1.34612 Car Y: μy = 27.50 ± 1.39422 d. What sample size is needed for an error factor "E" of ± 1.0 m.p.g.? Car X: 108 Car Y: 98 Test the H0 that each population mean is 27.00 m.p.g. against the Ha that it is not 27.00. e. State the H0: Car X: μx = 27.00 Car Y: μy = 27.00 f. State the Ha: Car X: μx ≠ 27.00 Car Y: μy ≠ 27.00 g. Use α = 0.05. State the zt, table-z, or critical value: Car X: zt = ± 1.960 Car Y: zt = ± 1.960 h. The zc, calculated-z or test statistic is: Car X: zc = 2.09665 Car Y: i. The hypothesis-test conclusion is: Car X: H0 is rejected. * Car Y: zc = 0.702889 H0 is not rejected ** * The difference between the sample mean, 28.44, and the null hypothesis, 27.00, is statistically significant at the 0.05 level. The population mean is probably not 27.00. ** The difference between the sample mean, 27.50, and the null hypothesis, 27.00, is not statistically significant at the 0.05 level. The population mean could be 27.00. j. What is the p-value in this test? Car X: 0.0360243 Car Y: 0.482125 2. Using the same data, conduct estimation and hypothesis testing on the difference between population mean miles-per-gallon of car X and car Y. a. The point estimate of the difference between population means is: 0.94 b. The sampling standard deviation (standard error) of the differences between sample means is: 0.988800 c. The 95% confidence interval for the difference between population means is (use point estimate ± error factor format, not LCL and UCL) (μ1 - μ2) = 0.94 ± 1.93801 d. What sample size is needed for an error factor "E" of ± 1.40 m.p.g.? 106 Test the H0 that the population means are equal against the Ha that they are not equal. e. State the H0: (μ1 - μ2) = 0 f. State the Ha: (μ1 - μ2) ≠ 0 g. Use α = 0.05. State the zt, table-z, or critical value: h. The zc, calculated-z or test statistic is: ± 1.960 0.950648 i. The hypothesis-test conclusion is: H0 is not rejected. * * The difference between the sample means, 0.94, is not statistically significant at the 0.05 level. The population means could be equal. j. What is the p-value in this test? 0.341783