If the sample size increases from 25 to 100 and the level of significance stays the same,then
A)the risk of a Type II error would decrease.
B)the risk of a Type I error would decrease.
C)the risk of both Type I and Type II errors would decrease.
D)the risk of neither Type I nor Type II error would decrease.

Question

Quizplus · Accepted Answer

Increasing the sample size generally increases the power of a test, which decreases the risk of a Type II error (failing to reject a false null hypothesis). The risk of a Type I error (rejecting a true null hypothesis) is determined by the level of significance, which remains unchanged.

If the Sample Size Increases from 25 to 100 and the Level