👉 In probability theory and statistics, a hypergeometric distribution is a discrete probability distribution that models the number of successes in a sample drawn from a larger population. It can be defined as:
P(X=k) = nCk
p^k
(1-p)^{n-k}
where:
- P(X=k) is the probability of k successes in a sample of size n,
- nCk is the number of combinations of choosing k items from n, which can be calculated using
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What is the definition of Hypergeometrical? 🙋
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What is the definition of Hypergeometric? 🙋
👉 Hypergeometric is a mathematical concept in probability theory and statistics, involving probabilities associated with generating binomial distributions from a finite number of independent random variables. It was introduced by William Sealy Gosset, who developed it as part of his work on the Bernoulli distribution. In simple terms, if we have n independent trials each with success probability p (p = 1/2 for binary outcomes) and q = 1-p successes are observed in a fixed number of trials, then the
