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

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.


Last update: Feb 28, 2024