statsmodels.stats.weightstats.ttest_ind

statsmodels.stats.weightstats.ttest_ind(x1, x2, alternative='two-sided', usevar='pooled', weights=(None, None), value=0) [source]

ttest independent sample

convenience function that uses the classes and throws away the intermediate results, compared to scipy stats: drops axis option, adds alternative, usevar, and weights option

Parameters:

x2 (x1,) – two independent samples, see notes for 2-D case alternative (string) – The alternative hypothesis, H1, has to be one of the following ’two-sided’: H1: difference in means not equal to value (default) ‘larger’ : H1: difference in means larger than value ‘smaller’ : H1: difference in means smaller than value usevar (string, 'pooled' or 'unequal') – If pooled, then the standard deviation of the samples is assumed to be the same. If unequal, then Welsh ttest with Satterthwait degrees of freedom is used weights (tuple of None or ndarrays) – Case weights for the two samples. For details on weights see DescrStatsW value (float) – difference between the means under the Null hypothesis.

Returns:

tstat (float) – test statisic pvalue (float) – pvalue of the t-test df (int or float) – degrees of freedom used in the t-test