Effect size

Effect size measures how big a difference is, in units you can interpret, separately from whether that difference is statistically significant.

An effect size can be as plain as the difference between two means or two proportions, or it can be standardized by dividing that difference by a standard deviation. It answers how much, while a p-value only answers whether there is evidence of any difference at all. For example, if one group averages 78 and another averages 75 with a standard deviation of 10, the raw effect is 3 points and the standardized effect is 3/10=0.303/10 = 0.30. AP Statistics does not use the phrase effect size; it asks you to report the difference itself with a confidence interval for it, which is the same idea in plain units.

Where this comes up

More hypothesis testing terms, or browse the full statistics glossary.