The effect size for the t test for independent means is the difference between the sample means divided by the:
A)pooled estimate of the population SD
B)SD of the distribution of differences between means
C)SD of difference scores
D)variance of difference scores for the population

Question

Quizplus · Accepted Answer

The effect size for the t test for independent means is often measured using Cohen's d, which is the difference between the sample means divided by the pooled estimate of the population standard deviation. This provides a standardized measure of the magnitude of the difference between the two groups being compared.

The Effect Size for the T Test for Independent Means