statsmodels.stats.power.GofChisquarePower.power
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GofChisquarePower.power(effect_size, nobs, alpha, n_bins, ddof=0)
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Calculate the power of a chisquare test for one sample
Only two-sided alternative is implemented
Parameters: effect_size : float
standardized effect size, according to Cohen?s definition. see
statsmodels.stats.gof.chisquare_effectsize
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.
n_bins : int
number of bins or cells in the distribution.
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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