One problem with hypothesis testing is that a real effect may not be detected. 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 and the sample size is also small, it becomes more difficult to detect the real effect due to insufficient power of the statistical test. This increases the likelihood of a Type II error, where a true effect is not detected.

One Problem with Hypothesis Testing Is That a Real Effect