The Bernoulli distribution
[this page | pdf | back links]
A Bernoulli trial is an experiment that has one of two
possible outcomes, ‘success’ with probability and
‘failure’ with probability . The Bernoulli
distribution is a probability distribution that takes the value of 1 if such a
trial is a ‘success’ and 0 if it is a ‘failure’.
The Bernoulli distribution is a special case of the binomial distribution,
, with . For
characteristics of the Bernoulli distribution (e.g. mean, standard deviation
etc.), please refer to the corresponding characteristics for the binomial distribution.
For other probability distributions see here.
Contents | Prev | Next