3.11.1.2.3. statsmodels.stats.api.CompareMeans¶
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class
statsmodels.stats.api.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.
assume d1, d2 hold the relevant attributes
3.11.1.2.3.1. Methods¶
__init__(d1, d2) |
assume d1, d2 hold the relevant attributes |
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 |