Using Cohen’s D for Experiments

Nina Zumel takes us through Cohen’s D, a useful tool for determining effect sizes in experiments:

Cohen’s d is a measure of effect size for the difference of two means that takes the variance of the population into account. It’s defined as
d = | μ1 – μ2 | / σpooled
where σpooled is the pooled standard deviation over both cohorts.

Read the whole thing.

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