Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In probability and statistics, a Bernoulli process is a finite or infinite sequence of binary random variables, so it is a discrete-time stochastic process that takes only two values, canonically 0 and 1. The component Bernoulli variables Xi are identical and independent. Prosaically, a Bernoulli process is repeated coin flipping, possibly with an unfair coin - but one whose unfairness is constant. Every variable Xi in the sequence may be associated with a Bernoulli trial or experiment. They all have the same Bernoulli distribution. The problem of determining the process, given only a limited sample of the Bernoulli trials, may be called the problem of checking if a coin is fair.

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