The negative binomial distribution is a discrete probability distribution that models the number of trials needed to achieve a fixed number of successes in a series of independent Bernoulli trials. This distribution is particularly useful in scenarios where you are interested in counting the number of failures that occur before achieving a predetermined number of successful outcomes, making it a critical concept within discrete probability distributions.
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