7 Using Technology to Perform Hypothesis Tests Here are some Minitab and TI-84 Plus printouts for some of the examples in this chapter. 414 CHAPTER 7 Hypothesis Testing with One Sample See Example 5, page 367. Display Descriptive Statistics... Store Descriptive Statistics... 2-Sample t... Paired t... 1 Proportion... 2 Proportions... Correlation 1-Sample Z... 1-Sample t... Graphical Summary... MINITAB One-Sample Z N Mean SE Mean 95% CI for μ Z-Value P-Value 25 67.200 0.700 (65.828, 68.572) -1.57 0.116 μ: population mean of Sample Null hypothesis H0: μ = 68.3 Known standard deviation = 3.5 Alternative hypothesis H1: μ ≠ 68.3 See Example 4, page 380. Display Descriptive Statistics... Store Descriptive Statistics... 2-Sample t... Paired t... 1 Proportion... 2 Proportions... Correlation 1-Sample Z... 1-Sample t... Graphical Summary... MINITAB One-Sample T N Mean STDev SE Mean 95% Upper Bound for μ T-Value P-Value 14 21558 3350 895 23144 -2.17 0.025 μ: population mean of Sample Null hypothesis H0: μ = 23500 Alternative hypothesis H1: μ 6 23500 See Example 2, page 390. Display Descriptive Statistics... Store Descriptive Statistics... 2-Sample t... Paired t... 2 Proportions... Correlation... C i 1-Sample Z... 1-Sample t... Graphical Summary... 1 Proportion... MINITAB Test and CI for One Proportion N Event Sample p 90% CI for p Z-Value P-Value 7400 1984 0.268108 (0.259638, 0.276578) 1.59 0.112 p: event proportion Null hypothesis H0: p = 0.26 Normal approximation used Alternative hypothesis H1: p ≠ 0.26
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