If sample size increases from 25 to 100 and the level of significance stays the same, then:
A)the risk of Type II error would decrease.
B)the risk of 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 leads to a decrease in the risk of a Type II error, as a larger sample size provides more information about the population, making it easier to detect a true effect if one exists. The level of significance (alpha) directly controls the risk of a Type I error, and it remains unchanged regardless of sample size.

If Sample Size Increases from 25 to 100 and the Level