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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 50 50 Sample Mean 25.44 26.08 Estimated Population Standard Deviation 3.36 2.89 a. The point estimate of the population mean is: Car X: 25.44 Car Y: 26.08 b. The sampling standard deviation (standard error) of the sample means is: Car X: 0.475176 Car Y: 0.408708 c. The 95% confidence interval for the population mean is: (use point estimate ± error factor format, not LCL and UCL) Car X: μx = 25.44 ± 0.931327 Car Y: μy = 26.08 ± 0.801052 d. What sample size is needed for an error factor "E" of ± 0.4 m.p.g.? Car X: 272 Car Y: 201 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 = - 3.282996 Car Y: i. The hypothesis-test conclusion is: Car X: H0 is rejected. * Car Y: zc = - 2.250997 H0 is rejected. ** * The difference between the sample mean, 25.44, 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, 26.08, and the null hypothesis, 27.00, is statistically significant at the 0.05 level. The population mean is probably not 27.00. j. What is the p-value in this test? Car X: 0.00102710 Car Y: 0.0243857 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: - 0.64 b. The sampling standard deviation (standard error) of the differences between sample means is: 0.626765 c. The 95% confidence interval for the difference between population means is (use point estimate ± error factor format, not LCL and UCL) (μ1 - μ2) = - 0.64 ± 1.228436 d. What sample size is needed for an error factor "E" of ± 0.50 m.p.g.? 302 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 - 1.021117 i. The hypothesis-test conclusion is: H0 is not rejected. * * The difference between the sample means, 0.64, is not statistically significant at the 0.05 level. The population means could be equal. j. What is the p-value in this test? 0.307199