Score: 0/20 0/2 answered Question 2 < > Background: The data set provided below was derived from an article in the Journal of the American Medical Association entitled "A Critical Appraisal of 98.6 Degrees F, the Upper Limit of the Normal Body Temperature, and Other Legacies of Carl Reinhold August Wunderlich" (Mackowiak, Wasserman, and Levine 1992) by Allen Shoemaker. He recreated the original data set from a histogram and published the article "What's Normal? -- Temperature, Gender, and Heart Rate", Journal of Statistics Education v.4, n.2 (1996). Directions: Perform an appropriate significance test to determine whether or not the average body temperature of humans is different from 98.6. 1. Click on the Data button shown below to open the data in a new window. If using a PC, use Ctrl-A to select the data and Ctrl-C to copy the data. Paste the data into a statistical software package and click the Data button a second time to hide the data. Data 2. Use the statistical software package to compute a numerical summary. 3. Perform the significance test. a. Choose the correct null and alternative hypothesis. Ho: = 98.6 : < 98.6 O Ho: 98.6 Ha = 98.6 Ho: = 98.6 H : # 98.6 O Ho 98.6 H : > 98.6 b. Compute the test statistic. Round your answer to 4 decimal places. c. Compute the p-value. Round your answer to 4 decimal places. myOpenMath d. Interpret the results of the test. O The p-value provides little evidence against the null hypothesis. The difference between average body temperature and the historical benchmark of 98.6 degrees is not statistically significant. The p-value provides strong evidence against the null hypothesis. The difference between the average body temperature and the historical benchmark of 98.6 degrees is statistically significant. Question Help: Message instructor Submit Question