x1, x2 : array_like, 1-D or 2-D
value : float
In the one sample case, value is the mean of x1 under the Null
In the two sample case, value is the difference between mean of x1 and
mean of x2 under the Null hypothesis. The test statistic is
x1_mean - x2_mean - value.
alternative : string
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
usevar : string, ‘pooled’
Currently, only ‘pooled’ is implemented.
If pooled, then the standard deviation of the samples is assumed to be
the same. see CompareMeans.ztest_ind for different options.
ddof : int
Degrees of freedom use in the calculation of the variance of the mean
estimate. In the case of comparing means this is one, however it can
be adjusted for testing other statistics (proportion, correlation)