11.Which of the following statements about hypothesis testing is TRUE? A Type II error is the probability of:

A)   rejecting a true null hypothesis.

B)   rejecting a true alternative hypothesis.

C)   rejecting a false null hypothesis.

D)   failing to reject a false null hypothesis.

12.Which of the following statements is FALSE regarding hypothesis testing?

A)   A type I error is acceptance of a hypothesis that is actually false.

B)   An analyst can perform a one-tailed or a two-tailed test.

C)   A type II error is the acceptance of a hypothesis that is actually false.

D)   The significance level is the risk of making a type I error.

答案和详解如下：

11.Which of the following statements about hypothesis testing is TRUE? A Type II error is the probability of:

A)   rejecting a true null hypothesis.

B)   rejecting a true alternative hypothesis.

C)   rejecting a false null hypothesis.

D)   failing to reject a false null hypothesis.

The correct answer was D)

The Type II error is the error of failing to reject a null hypothesis that is not true.

12.Which of the following statements is FALSE regarding hypothesis testing?

A)   A type I error is acceptance of a hypothesis that is actually false.

B)   An analyst can perform a one-tailed or a two-tailed test.

C)   A type II error is the acceptance of a hypothesis that is actually false.

D)   The significance level is the risk of making a type I error.

The correct answer was A)

A type I error is the rejection of a hypothesis that is actually true.