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

Quizplus · Accepted Answer

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

Which of the Following Statements Is Not True About the Level