Which of the following statements is not true about the level of significance in a hypothesis test?
A) The larger the level of significance, the more likely you are to reject the null hypothesis.
B) The level of significance is the maximum risk we are willing to accept in making a Type I error.
C) The significance level is also called the α level.
D) The significance level is another name for Type II error.

Question

Quizplus · Accepted Answer

The significance level is not another name for Type II error. The level of significance is specifically associated with Type I error, which is the probability of rejecting a true null hypothesis. Type II error is the probability of failing to reject a false null hypothesis, and is denoted by β.

Which of the Following Statements Is Not True About the Level