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: | d2 (d1,) – |
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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.
dof_satt () | degrees of freedom of Satterthwaite for unequal variance |
from_data (data1, data2[, weights1, …]) | construct a CompareMeans object from data |
std_meandiff_pooledvar () | variance assuming equal variance in both data sets |
std_meandiff_separatevar () | |
summary ([use_t, alpha, usevar, value]) | summarize the results of the hypothesis test |
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 |
© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.stats.weightstats.CompareMeans.html