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# scipy.stats.binom_test

`scipy.stats.``binom_test`(x, n=None, p=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.

  Parameters: | x : integer or array_like the number of successes, or if x has length 2, it is the number of successes and the number of failures. n : integer the number of trials. This is ignored if x gives both the number of successes and failures p : float, optional The hypothesized probability of success. 0 <= p <= 1. The default value is p = 0.5 alternative : {‘two-sided’, ‘greater’, ‘less’}, optional Indicates the alternative hypothesis. The default value is ‘two-sided’.
  Returns: | p-value : float The p-value of the hypothesis test

  References

  [R560] | http://en.wikipedia.org/wiki/Binomial_test