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The Poisson distribution, derived by Siméon Poisson in 1837, describes the probability of rare events occurring within a fixed interval. It is applicable in situations where the event count is discrete, trials are large, and the success probability is small. The document also contrasts Poisson distribution with the binomial distribution and provides examples and calculations for understanding its application.















