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 the same probability of success. This distribution is crucial in understanding scenarios where we want to know how many attempts it takes before we succeed, such as flipping a coin until it lands on heads.
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