statsmodels.stats.power.NormalIndPower¶
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class
statsmodels.stats.power.NormalIndPower(ddof=0, **kwds)[source]¶ Statistical Power calculations for z-test for two independent samples.
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 z-test for two independent sample
solve_power([effect_size, nobs1, alpha, …])solve for any one parameter of the power of a two sample z-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 z-test for two independent sample
solve_power([effect_size, nobs1, alpha, …])solve for any one parameter of the power of a two sample z-test