32. A P-value is . . . a. the probability that the null hypothesis is true. b. t

Question

32. A P-value is . . . a. the probability that the null hypothesis is true. b. the probability that the alternative hypothesis is true. c. the probability that the test statistic is as extreme or more extreme than is actually observed, assuming the null hypothesis is true. d. the probability that a result is important. 34. A study of fox rabies in southern Germany (B. Sayers et al. "A pattern analysis of a wildlife rabies epizootic," Medical Informatics 2:11-34) gave the following information on the number of cases in two regions.
Region I: Mean = 4.75, Standard deviation = 2.82, Sample size = 16
Region II: Mean = 3.93, Standard deviation = 2.43, Sample size = 15
Does this information indicate a difference in the mean number of fox rabies cases between the two regions? a. Yes, because 4.75 > 3.93. b. No, because 2.82 < 2.43. c. No, because P = 0.392. d. Yes, because P = 0.392. 32. A P-value is . . . a. the probability that the null hypothesis is true. b. the probability that the alternative hypothesis is true. c. the probability that the test statistic is as extreme or more extreme than is actually observed, assuming the null hypothesis is true. d. the probability that a result is important.

Explanation / Answer

1. Correct answer is C. Since it is a probability that there are no extreme values given that null is true

2. Correct answer is C

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