The Bernoulli distribution, named after the Swiss mathematician Jacob Bernoulli, is the discrete probability distribution of a random variable that takes the value 1 with probability p and the value 0 with probability q equal to 1 minus p. Informally, it models the outcome of any single yes-or-no experiment, producing a boolean-valued result that represents success or failure at a fixed probability. It is the simplest building block of discrete probability theory and underlies more complex distributions such as the binomial. This description is adapted from Wikipedia contributors under CC BY-SA 4.0; changes were made. https://creativecommons.org/licenses/by-sa/4.0/
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Source Bernoulli Distribution (Wikipedia)
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1. Bernoulli Distribution (Wikipedia)
In Branch: Probability and Statistics, Lead sentenceQuote, In Branch: Probability and Statistics, Lead sentence
In probability theory and statistics, the Bernoulli distribution, named after Swiss mathematician Jacob Bernoulli, is the discrete
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