stats.proportion.binom_test()

statsmodels.stats.proportion.binom_test

statsmodels.stats.proportion.binom_test(count, nobs, prop=0.5, alternative='two-sided') [source]

Perform a test that the probability of success is p.

This is an exact, two-sided test of the null hypothesis that the probability of success in a Bernoulli experiment is p.

Parameters:	count : integer or array_like the number of successes in nobs trials. nobs : integer the number of trials or observations. prop : float, optional The probability of success under the null hypothesis, 0 <= prop <= 1. The default value is prop = 0.5 alternative : string in [‘two-sided’, ‘smaller’, ‘larger’] alternative hypothesis, which can be two-sided or either one of the one-sided tests.
Returns:	p-value : float The p-value of the hypothesis test

Notes

This uses scipy.stats.binom_test for the two-sided alternative.