statsmodels.stats.weightstats._zstat_generic2

statsmodels.stats.weightstats._zstat_generic2(value, std, alternative)

generic (normal) z-test based on summary statistic

The test statistic is :

zstat = value / std

and is assumed to be normally distributed with standard deviation std.

Parameters:

• value (float or ndarray) – Value of a sample statistic, for example mean.

• value2 (float or ndarray) – Value, for example mean, of the second sample.

• std (float or ndarray) – Standard error of the sample statistic value.

• alternative (str) –

  The alternative hypothesis, H1, has to be one of the following

  • ’two-sided’ : H1: value1 - value2 - diff not equal to 0.

  • ’larger’ : H1: value1 - value2 - diff > 0

  • ’smaller’ : H1: value1 - value2 - diff < 0

Returns:

• zstat (float or ndarray) – Test statistic.

• pvalue (float or ndarray) – P-value of the hypothesis test assuming that the test statistic is normally distributed.