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Stat 200 Lab 11 The symbol µ is used to represent a population mean. Hypotheses about µ are tested using a “t-test” procedure. In Minitab, use Stat>Basic Statistics>1 Sample t Activity 1 What is normal body temperature? In the paper cited below, the authors present evidence that the mean normal body temperature may be less than 98.6°, the long held standard. Mackowiak, P. A., et al. (1992), "A Critical Appraisal of 98.6 Degrees F, the Upper Limit of the Normal Body Temperature, and Other Legacies of Carl Reinhold August Wunderlich," JAMA, 268, 1578-1580. I used the statistics presented in the paper to simulate body temperatures for a sample of 18 subjects. 98.2 97.8 99.0 98.6 98.2 97.8 98.4 99.7 98.2 97.4 97.6 98.4 98.0 99.2 98.6 97.1 97.2 98.5 Ø Draw a dotplot of the data. (Graph>Dotplot,). Are there outliers, or any other unusual features of the data? Ø Write null and alternative hypotheses about µ, the mean normal body temperature in the population. Ø Do a t-test of your null and alternative hypotheses. Ø What is the sample mean? Ø What is the p-value of the test? Ø Based on this conclusion, what is the appropriate conclusion about your hypotheses? Ø Write a sentence that explains what the p-value measures in this problem. Use Minitab to determine a 95% confidence interval for about µ, the mean normal body temperature in the population. (Go back to Stat>Basic Statistics>1 Sample t). Write a sentence that interprets this interval. Activity 2 Two different medical facilities test a new medication for allergies. The concern is the proportion of patients who experience drowsiness. With the standard medications, this proportion is about 0.25. This proportion may be less with the new medication. The results from the two facilities are Facility 1: n= 60 patients, 11 patients experience drowsiness, 49 do not. Facility 2: n = 120 patients, 21 patients experience drowsiness, 99 do not. Write null and alternative hypotheses for p, the proportion that experience drowsiness. Use the data from each facility separately, to test these hypotheses. Do two tests, one based on each facility. Stat>Basic Stats> 1 Proportion State conclusions. Is there a difference between the two labs? If so, what do you think causes this difference?