When statisticians talk about effect size, they are referring to
A) the p value obtained from a test such as a F test
B) the size of the differences among the means of the populations the samples are from
C) whether an$\alpha$ level of .05 or .01 was used
D) whether or not the test statistic was in the rejection region.

Question

Quizplus · Accepted Answer

Effect size refers to the magnitude of the difference between groups or the strength of a relationship between variables, not just the statistical significance (p-value) or the specific criteria for significance levels. It provides a quantitative measure of the size of the differences among the means of the populations from which samples are drawn, offering insight into the practical significance of research findings.

When Statisticians Talk About Effect Size, They Are Referring to α\alphaα

When Statisticians Talk About Effect Size, They Are Referring to $\alpha$