class statsmodels.stats.power.TTestIndPower(**kwds)[source]

Statistical Power calculations for t-test for two independent sample

currently only uses pooled variance


plot_power([dep_var, nobs, effect_size, ...])

Plot power with number of observations or effect size on x-axis

power(effect_size, nobs1, alpha[, ratio, ...])

Calculate the power of a t-test for two independent sample

solve_power([effect_size, nobs1, alpha, ...])

solve for any one parameter of the power of a two sample t-test

Last update: Dec 14, 2023