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 |
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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 |