A Bernoulli process consists of a series of independent trials, each with two possible outcomes (often labeled "success" and "failure"), with a constant probability, p, of success (such as a set of coin tosses).  If there are n trials, it is also called a binomial experiment, and the total number of successes, k, is given by the binomial distribution.  The number of trials needed before getting a fixed number of successes is given by a negative binomial distribution, and the number of trials needed to get one success is given by a geometric distribution.  If there are more than two possible outcomes, it is a multinomial experiment, and its results are given by a multinomial distribution.

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