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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, mean divided by the standard deviation. effect size has to be positive.

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 : float

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.

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