8 Using Technology to Perform Two-Sample Hypothesis Tests 464 CHAPTER 8 Hypothesis Testing with Two Samples Here are some Minitab and TI-84 Plus printouts for several examples in this chapter. See Example 1, page 430. Display Descriptive Statistics... Store Descriptive Statistics... 2-Sample t... Paired t... 1 Proportion... 2 Proportions... Correlation... Covariance... Normality Test... 1-Sample Z... 1-Sample t... Graphical Summary... See Example 1, page 439. Person 1 2 3 4 5 6 7 8 Average golf score (before taking lessons) 96 95 95 99 87 104 105 94 Average golf score (after taking lessons) 89 90 95 94 91 100 103 100 Vertical Jump Heights, Before and After Using Shoes Display Descriptive Statistics... Store Descriptive Statistics... 2-Sample t... Paired t... 1 Proportion... 2 Proportions... Correlation... Covariance... Normality Test... 1-Sample Z... 1-Sample t... Graphical Summary... MINITAB Two-SampleT-Test and CI Sample N Mean StDev SE Mean 1 8 473.0 39.7 14 2 18 459.0 24.5 5.8 Difference = mu (1) - mu (2) Estimate for difference: 14.0 90% CI for difference: (-13.8, 41.8) T-Test of difference = 0 (vs not =): T-Value = 0.92 P-Value = 0.380 DF = 9 MINITAB Paired T-Test and CI: Before, After Paired T for Before - After N Mean StDev SE Mean Before 8 96.88 5.79 2.05 After 8 95.25 5.23 1.85 Difference 8 1.63 4.63 1.64 90% upper bound for mean difference: -0.69 T-Test of mean difference = 0 (vs 7 0): T-Value = 0.99 P-Value = 0.177
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