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_sizefloat: standardized effect size, mean divided by the standard deviation. effect size has to be positive.
nobsint or float: sample size, number of observations.
alphafloat 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_groupsint or float: number of groups in the ANOVA or k-sample comparison. Default is 2.

Returns:

powerfloat: 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.