428 Chapter 9 Hypothesis Testing EXCEL Testing a hypothesis about the population mean when �� is known This procedure requires the MegaStat EXCEL add-in to be loaded. The MegaStat add-in can be downloaded from www.mhhe.com/megastat. Step 1. Load the MegaStat EXCEL add-in. Step 2. Click on the MegaStat menu and select Hypothesis Tests, then Mean vs. Hypothesized Value... Step 3. Choose one of the following: ∙ If the summary statistics are given, choose summary input and enter the range of the cells that contains, in the following order, the variable name, ̄x, ��, and n. Figure G illustrates the range of cells for Example 9.14 using Satisfaction as the variable name. ∙ If the raw data are given, choose data input and select the range of cells that contains the data in the Input Range field. Step 4. Enter the Hypothesized mean (74) and select the form of the alternate hypothesis (not equal). Step 5. Choose the z-test option (Figure H). Step 6. Click OK (Figure I). Figure G Figure H Figure I SECTION 9.2 Exercises Exercises 1– 22 are the Check Your Understanding exercises located within the section. Understanding the Concepts In Exercises 23–28, fill in each blank with the appropriate word or phrase. 23. The is the probability, assuming H0 is true, of observing a value for the test statistic that is as extreme as or more extreme than the value actually observed. P-value 24. The smaller the P-value is, the stronger the evidence against the hypothesis becomes. null 25. When using the critical value method, the region that contains the unusual values is called the region. critical 26. If we decrease the value of the significance level ��, we the probability of a Type I error. decrease 27. If we decrease the value of the significance level ��, we the probability of a Type II error. increase 28. When results are statistically significant, they do not necessarily have significance. practical In Exercises 29–34, determine whether the statement is true or false. If the statement is false, rewrite it as a true statement. 29. The smaller the P-value, the stronger the evidence against H0. True 30. If the P-value is less than the significance level, we reject H0. True 31. The probability of a Type II error is ��, the significance level. False 32. If the P-value is very small, we can be sure that the results have practical significance. False
navidi_monk_elementary_statistics_2e_ch7-9
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