statsmodels.stats.proportion.samplesize_confint_proportion

statsmodels.stats.proportion.samplesize_confint_proportion(proportion, half_length, alpha=0.05, method='normal')[source]

find sample size to get desired confidence interval length

Parameters
  • proportion (float in (0, 1)) – proportion or quantile

  • half_length (float in (0, 1)) – desired half length of the confidence interval

  • alpha (float in (0, 1)) – significance level, default 0.05, coverage of the two-sided interval is (approximately) 1 - alpha

  • method (string in ['normal']) – method to use for confidence interval, currently only normal approximation

Returns

n – sample size to get the desired half length of the confidence interval

Return type

float

Notes

this is mainly to store the formula. possible application: number of replications in bootstrap samples