statsmodels.stats.power.FTestAnovaPower.power
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FTestAnovaPower.power(effect_size, nobs, alpha, k_groups=2)
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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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