- CompareMeans.ttest_ind(alternative='two-sided', usevar='pooled', value=0)¶
ttest for the null hypothesis of identical means
this should also be the same as onewaygls, except for ddof differences
- x1array_like, 1-D or 2-D
first of the two independent samples, see notes for 2-D case
- x2array_like, 1-D or 2-D
second of the two independent samples, see notes for 2-D case
The alternative hypothesis, H1, has to be one of the following ‘two-sided’: H1: difference in means not equal to value (default) ‘larger’ : H1: difference in means larger than value ‘smaller’ : H1: difference in means smaller than value
str, ‘pooled’ or ‘unequal’
pooled, then the standard deviation of the samples is assumed to be the same. If
unequal, then Welch ttest with Satterthwait degrees of freedom is used
difference between the means under the Null hypothesis.
The result is independent of the user specified ddof.