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Unformatted text preview: Practice Exam 2 T F a) Suppose (24, 25) is a 95% confidence interval estimate for a population mean . Then there is a 95% chance that is between 24 and 25. T F b) If 95% confidence intervals are calculated from all possible samples of the give size, will be in 95% of these intervals. T F c) Two confidence intervals (214.4, 215.6) and (214.1, 215.9) are calculated from the same sample data. The interval (214.4, 215.6) has higher confidence level because it is narrower. T F d) When the null hypothesis is not rejected, it is because it is true. T F e) If the p-value for a hypothesis test is 0.42, the probability that the null hypothesis is true is 0.42. T F f) Like the normal distribution, the t-distribution is symmetric. T F g) The greater the df, the closer the t-distributions are to the normal distribution. T F h) If there is sufficient evidence to reject a null hypothesis at the 5% level, then there is sufficient evidence to reject it at the 1% T F i) In conducting a hypothesis test, it is possible to simultaneously make both a Type I error and a Type II error. T F j) In medical disease testing with the null hypothesis that the patient is healthy, a Type I error is associated with a false negative; that is the test incorrectly indicates that the patient is disease free.test incorrectly indicates that the patient is disease free....
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- Spring '08