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 $\alpha$level.
D)The significance level is another name for Type II error.

Question

Quizplus · Accepted Answer

The significance level, often denoted by alpha (α), is the probability of rejecting the null hypothesis when it is true (Type I error), not the probability of failing to reject the null hypothesis when it is false, which is a Type II error.

Which of the Following Statements Is Not True About the Level