statsmodels.stats.weightstats.CompareMeans
-
class statsmodels.stats.weightstats.CompareMeans(d1, d2)
[source] -
class for two sample comparison
The tests and the confidence interval work for multi-endpoint comparison: If d1 and d2 have the same number of rows, then each column of the data in d1 is compared with the corresponding column in d2.
Parameters: d1, d2 : instances of DescrStatsW Notes
The result for the statistical tests and the confidence interval are independent of the user specified ddof.
TODO: Extend to any number of groups or write a version that works in that case, like in SAS and SPSS.
Methods
dof_satt
()degrees of freedom of Satterthwaite for unequal variance std_meandiff_pooledvar
()variance assuming equal variance in both data sets std_meandiff_separatevar
()tconfint_diff
([alpha, alternative, usevar])confidence interval for the difference in means ttest_ind
([alternative, usevar, value])ttest for the null hypothesis of identical means ttost_ind
(low, upp[, usevar])test of equivalence for two independent samples, base on t-test zconfint_diff
([alpha, alternative, usevar])confidence interval for the difference in means ztest_ind
([alternative, usevar, value])z-test for the null hypothesis of identical means ztost_ind
(low, upp[, usevar])test of equivalence for two independent samples, based on z-test
Please login to continue.