statsmodels.stats.power.GofChisquarePower.power¶
-
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
- Parameters:¶
- effect_size
float
standardized effect size, according to Cohen’s definition. see
statsmodels.stats.gof.chisquare_effectsize
- nobs
int
orfloat
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.
- effect_size
- 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.
- power
Last update:
Dec 11, 2024