GofChisquarePower.power(effect_size, nobs, alpha, n_bins, ddof=
Calculate the power of a chisquare test for one sample
Only two-sided alternative is implemented
standardized effect size, according to Cohen’s definition. see
sample size, number of observations.
significance level, e.g. 0.05, is the probability of a type I error, that is wrong rejections if the Null Hypothesis is true.
number of bins or cells in the distribution.
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.