GofChisquarePower.power(effect_size, nobs, alpha, n_bins, ddof=0) [source]

Calculate the power of a chisquare test for one sample

Only two-sided alternative is implemented

  • 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.

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.

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© 2006 Jonathan E. Taylor
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