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

Question

Quizplus · Accepted Answer

The relationship between sample size and the acceptable risk of incorrect acceptance is inverse. This means that a larger acceptable risk of incorrect acceptance will result in a smaller sample size. If the acceptable risk is smaller, then a larger sample size is required to reduce the risk of incorrect acceptance. This relationship is due to the fact that as the acceptable risk increases, there is less need for precision in the measurement, and therefore a smaller sample size is required.

The Relationship Between Sample Size and the Acceptable Risk of Incorrect