Cohen's d

Popular effect size measure that quantifies the difference between two means. Indicates the magnitude of effect regardless of the sample size.

$$d=\frac{M_1-M_2}{S{D}_{pooled}}$$ $$S{D}_{pooled}=\sqrt{\frac{(n_1-1)S{D}_1^2+(n_2-1)S{D}_2^2}{n_1+n_2-2}}$$

Where:

• $M_1,M_2$ are sample means
• $S{D}_1,S{D}_2$ are sample standard deviations
• $n_1,n_2$ are sample sizes