The geometric distribution is a probability distribution that models the number of trials needed to achieve the first success in a sequence of independent Bernoulli trials, where each trial has two possible outcomes: success and failure. This distribution is characterized by its memoryless property, meaning the probability of success in future trials does not depend on past trials, making it distinct from other distributions like binomial and Poisson.
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