CompareMeans.summary()
statsmodels.stats.weightstats.CompareMeans.summary
-
CompareMeans.summary(use_t=True, alpha=0.05, usevar='pooled', value=0)
[source] -
summarize the results of the hypothesis test
Parameters: use_t : bool, optional
if use_t is True, then t test results are returned if use_t is False, then z test results are returned
alpha : float
significance level for the confidence interval, coverage is
1-alpha
usevar : string, ‘pooled’ or ‘unequal’
If
pooled
, then the standard deviation of the samples is assumed to be the same. Ifunequal
, then the variance of Welsh ttest will be used, and the degrees of freedom are those of Satterthwaite ifuse_t
is True.value : float
difference between the means under the Null hypothesis.
Returns: smry : SimpleTable
© 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.summary.html