# Source code for simplestatistics.statistics.bernoulli

from .binomial import binomial
[docs]def bernoulli(p, decimals = 2):
"""
The `Bernoulli Distribution`_ is, quoting from the Wikipedia page:
The Bernoulli distribution is the probability discrete distribution of a random
variable which takes value 1 with success probability p and value 0 with failure
probability q = 1 - p. It can be used, for example, to represent the toss of a coin,
where "1" is defined to mean "heads" and "0" is defined to mean "tails" (or vice versa).
It is a special case of a Binomial Distribution where n = 1.
.. _ `bernoulli distribution`: https://en.wikipedia.org/wiki/Bernoulli_distribution
Args:
p: Int or float representing *p* (probability)
decimals: (optional) number of decimal points (default is 2)
Returns:
List of the distribution values for the variable taking values 0, 1.
Examples:
>>> bernoulli(0.5)
[0.5, 0.5]
>>> bernoulli(0.25)
[0.75, 0.25]
>>> bernoulli(0.3)
[0.7, 0.3]
>>> bernoulli(1.1)
Traceback (most recent call last):
...
ValueError: Probability (p) must be between 0 and 1.
"""
if p < 0 or p > 1:
raise ValueError('Probability (p) must be between 0 and 1.')
probabilities = binomial([0, 1], 1, p)
probabilities = [round(x, decimals) for x in probabilities]
return(probabilities)