Chapter 9 MC
The error of rejecting a true null hypothesis is: A. always negligible in hypothesis testing. B. a Type I error. C. a Type II error. D. never committed in hypothesis testing.
B
The level of significance is the A. maximum allowable probability of Type II error. B. maximum allowable probability of Type I error. C. same as the confidence coefficient. D. same as the p-value.
B
The probability of committing a Type I error when the null hypothesis is true as an equality is A. greater than 1. B. the level of significance. C. the confidence level. D. β.
B
The p-value A. must be a number between zero and one. B. can be any positive value. C. can be any negative value. D. must be a number between -1 and 0.
A
What type of error occurs if you fail to reject H0 when, in fact, it is not true? A. either Type I or Type II, depending on the level of significance B. Type II C. Type I D. either Type I or Type II, depending on whether the test is one-tailed or two-tailed
B
In hypothesis testing, if the null hypothesis has been rejected when the alternative hypothesis has been true, A. either a Type I or a Type II error has been committed. B. a Type I error has been committed. C. the correct decision has been made. D. a Type II error has been committed.
C
If the null hypothesis is rejected in hypothesis testing, A. no conclusions can be drawn from the test. B. the data must have been accumulated incorrectly. C. the sample size has been too small. D. the alternative hypothesis is true.
D
In hypothesis testing, the tentative assumption about the population parameter is A. neither the null nor the alternative. B. either the null or the alternative. C. the alternative hypothesis. D. the null hypothesis.
D
The p-value is: A. the same as the z statistic. B. a sample statistic. C. a distance. D. a probability.
D
When the following hypotheses are being tested at a level of significance of α H0: μ 500 Ha: μ < 500 the null hypothesis will be rejected, if the p-value is: A. > α. B. <1 - α/2. C. = α/2. D. < a.
D