The larger the effect size, the:
A) smaller is the test statistic.
B) smaller is the sample size.
C) more two distributions overlap.
D) less two distributions overlap.

Question

Quizplus · Accepted Answer

Effect size refers to the magnitude of difference between two groups or populations. If the effect size is larger, it means that the difference between the two distributions is greater, and therefore there is less overlap between them. In other words, the more the two distributions do not overlap, the larger the effect size. Therefore, the correct choice is D: less two distributions overlap.

The Larger the Effect Size, The