Low statistical power in a study is a problem because
A) it increases the probability of making a Type I error.
B) it increases the probability of making a Type II error.
C) if the results of the statistical test are not significant, one cannot draw any firm conclusions about whether or not the hypothesis was supported.
D) both b and c.

Question

Quizplus · Accepted Answer

Low statistical power in a study increases the probability of making a Type II error (false negative), as well as the likelihood that non-significant results cannot be interpreted as evidence against the null hypothesis.

Low Statistical Power in a Study Is a Problem Because