The relationship between sample size and the acceptable risk of incorrect acceptance is:
A) indeterminate.
B) inverse; that is, larger = smaller.
C) variable; that is sometimes larger = larger and sometimes not.
D) direct; that is, larger acceptable risk = larger sample size.

Question

Quizplus · Accepted Answer

The larger the sample size, the smaller the risk of incorrect acceptance (also known as Type I error) because a larger sample size allows for more accurate representation of the population. Therefore, the relationship is inverse; as the sample size increases, the acceptable risk of incorrect acceptance decreases.

The Relationship Between Sample Size and the Acceptable Risk of Incorrect