statsmodels.stats.proportion.score_test_proportions_2indep

statsmodels.stats.proportion.score_test_proportions_2indep(count1, nobs1, count2, nobs2, value=None, compare='diff', alternative='two-sided', correction=True, return_results=True)[source]

Score test for two independent proportions

This uses the constrained estimate of the proportions to compute the variance under the Null hypothesis.

Parameters:

  • count1 – count and sample size for first sample

  • nobs1 – count and sample size for first sample

  • count2 – count and sample size for the second sample

  • nobs2 – count and sample size for the second sample

  • value (float) – diff, ratio or odds-ratio under the null hypothesis. If value is None, then equality of proportions under the Null is assumed, i.e. value=0 for ‘diff’ or value=1 for either rate or odds-ratio.

  • compare (string in ['diff', 'ratio' 'odds-ratio']) – If compare is diff, then the confidence interval is for diff = p1 - p2. If compare is ratio, then the confidence interval is for the risk ratio defined by ratio = p1 / p2. If compare is odds-ratio, then the confidence interval is for the odds-ratio defined by or = p1 / (1 - p1) / (p2 / (1 - p2)

  • return_results (bool) – If true, then a results instance with extra information is returned, otherwise a tuple with statistic and pvalue is returned.

Returns:

results – If return_results is True, then a results instance with the information in attributes is returned. If return_results is False, then only statistic and pvalue are returned.

statisticfloat

test statistic asymptotically normal distributed N(0, 1)

pvaluefloat

p-value based on normal distribution

other attributes :

additional information about the hypothesis test

Return type:

results instance or tuple

Notes

Status: experimental, the type or extra information in the return might change.