statsmodels.stats.power.TTestIndPower

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

Statistical Power calculations for t-test for two independent sample

currently only uses pooled variance

Methods

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

Methods

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