One problem with hypothesis testing is that a result may be statistically significant but be of little practical significance. This problem is most likely to occur when
A) the effect is small and the sample size is small.
B) the effect is large and the sample size is small.
C) the effect is small and the sample size is large.
D) the effect is large and the sample size is large.

Question

Quizplus · Accepted Answer

When the effect size is small but the sample size is large, statistical tests can detect even tiny differences as significant, even though these differences may not be meaningful in practical terms. This can lead to situations where results are statistically significant but lack practical significance.

One Problem with Hypothesis Testing Is That a Result May