Question 1180120: When one changes the significance level of a hypothesis test from 0.01 to 0.05, which of the following will happen? Check all that apply.
A. The chance that the null hypothesis is true changes from 0.01 to 0.05.
B. The test becomes more stringent to reject the null hypothesis (i.e. it becomes harder to reject the null hypothesis).
C. The test becomes less stringent to reject the null hypothesis (i.e., it becomes easier to reject the null hypothesis).
D. It becomes easier to prove that the null hypothesis is true.
E. It becomes harder to prove that the null hypothesis is true.
F. The chance of committing a Type I error changes from 0.01 to 0.05.
G. The chance of committing a Type II error changes from 0.01 to 0.05.
Answer by Boreal(15235)   (Show Source):
You can put this solution on YOUR website! A. The null hypothesis is either true or not, so that doesn't change.
B. It becomes EASIER to reject Ho, so not B, but C.
C. Yes
D. It becomes EASIER to reject Ho, so D can't be correct.
E. Is correct, although the wording should say something about rejecting the null, ideally. We don't really prove the null hypothesis is true or false; we reject it to fail to reject it are better terms. I'm not sure how much of a stickler the teacher is for words. It becomes more difficult to accept Ho.
F. Is true
G. is not.
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