- statsmodels.stats.proportion.binom_test(count, nobs, prop=0.5, alternative='two-sided')¶
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.
the number of successes in nobs trials.
the number of trials or observations.
The probability of success under the null hypothesis, 0 <= prop <= 1. The default value is prop = 0.5
in[‘two-sided’, ‘smaller’, ‘larger’]
alternative hypothesis, which can be two-sided or either one of the one-sided tests.
The p-value of the hypothesis test
This uses scipy.stats.binom_test for the two-sided alternative.