ztest_ind(alternative='two-sided', usevar='pooled', value=0)¶
z-test for the null hypothesis of identical means
x1, x2 : array_like, 1-D or 2-D
two independent samples, see notes for 2-D case
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’ or ‘unequal’
pooled, then the standard deviation of the samples is assumed to be the same. If
unequal, then the standard deviations of the samples may be different.
value : float
difference between the means under the Null hypothesis.
tstat : float
pvalue : float
pvalue of the z-test