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

Cohen’s dis 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 = | μ_{1}– μ_{2}| / σ_{pooled}

where σ_{pooled}is the pooled standard deviation over both cohorts.

Read the whole thing.

Kevin Feasel

2019-06-21

Data Science, R