statsmodels.stats.weightstats._zconfint_generic¶

statsmodels.stats.weightstats._zconfint_generic(mean, std_mean, alpha, alternative)[source]¶

generic normal-confint based on summary statistic

Parameters:¶

meanfloat or ndarray

Value, for example mean, of the first sample.

std_meanfloat or ndarray

Standard error of the difference value1 - value2

alphafloat

Significance level for the confidence interval, coverage is 1-alpha

alternativestr

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:¶

lowerfloat or ndarray

Lower confidence limit. This is -inf for the one-sided alternative “smaller”.

upperfloat or ndarray

Upper confidence limit. This is inf for the one-sided alternative “larger”.