statsmodels.stats.power.FTestAnovaPower.power¶

FTestAnovaPower.power(effect_size, nobs, alpha, k_groups=2)[source]¶

Calculate the power of a F-test for one factor ANOVA.

Parameters:¶

effect_size : float¶

standardized effect size. The effect size is here Cohen’s f, square root of “f2”.

nobs : int or float¶

sample size, number of observations.

alpha : float in interval (0,1)¶

significance level, e.g. 0.05, is the probability of a type I error, that is wrong rejections if the Null Hypothesis is true.

k_groups : int or float¶

number of groups in the ANOVA or k-sample comparison. Default is 2.

Returns:¶

power – Power of the test, e.g. 0.8, is one minus the probability of a type II error. Power is the probability that the test correctly rejects the Null Hypothesis if the Alternative Hypothesis is true.

Return type:¶

float