statsmodels.stats.weightstats.CompareMeans.summary¶

CompareMeans.summary(use_t=True, alpha=0.05, usevar='pooled', value=0)[source]¶

summarize the results of the hypothesis test

Parameters:¶

use_tbool, optional

if use_t is True, then t test results are returned if use_t is False, then z test results are returned

alphafloat

significance level for the confidence interval, coverage is 1-alpha

usevarstr, ‘pooled’ or ‘unequal’

If pooled, then the standard deviation of the samples is assumed to be the same. If unequal, then the variance of Welch ttest will be used, and the degrees of freedom are those of Satterthwaite if use_t is True.

valuefloat

difference between the means under the Null hypothesis.

Returns:¶

smrySimpleTable