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