statsmodels.stats.weightstats._tconfint_generic

statsmodels.stats.weightstats._tconfint_generic(mean, std_mean, dof, alpha, alternative)

generic t-confint based on summary statistic

Parameters:

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

• std_mean (float or ndarray) – Standard error of the difference value1 - value2

• dof (int or float) – Degrees of freedom

• alpha (float) – Significance level for the confidence interval, coverage is 1-alpha.

• 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:

• lower (float or ndarray) – Lower confidence limit. This is -inf for the one-sided alternative “smaller”.

• upper (float or ndarray) – Upper confidence limit. This is inf for the one-sided alternative “larger”.