When statisticians talk about effect size, they are referring to
A) the p value obtained from a test such as a t test
B) the difference between the means of the two 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. In the context of comparing two populations, it specifically refers to the difference between the means of these populations, which helps in understanding the practical significance of the findings.

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

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