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 significance level is another name for Type II error.
C) The significance level is also called the α level.
D) The level of significance is the maximum risk we are willing to accept in making a Type I error.

Question

Quizplus · Accepted Answer

The significance level is not another name for Type II error. The significance level refers to the maximum risk or probability that we are willing to accept in making a Type I error, while Type II error refers to the probability of failing to reject a false null hypothesis when it is actually false.

Which of the Following Statements Is Not True About the Level