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

Question

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

Quizplus · Accepted Answer

The statement that "The significance level is another name for Type II error" is not true. The significance level is related to the probability of making a Type I error, while Type II error is related to accepting a false null hypothesis. The significance level is not another name for Type II error; it refers to the maximum risk of Type I error that we are willing to accept.

Which of the Following Statements Is Not True About the Level