# 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. 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. float