statsmodels.stats.weightstats.CompareMeans.ztest_ind
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CompareMeans.ztest_ind(alternative='two-sided', usevar='pooled', value=0)
[source]
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z-test for the null hypothesis of identical means
Parameters: |
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x2 (x1,) – two independent samples, see notes for 2-D case
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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
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usevar (string, 'pooled' or 'unequal') – If
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.
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Returns: |
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tstat (float) – test statisic
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pvalue (float) – pvalue of the z-test
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