Hypergeometric Probability Calculator

Instructions: Use this Hypergeometric Probability Calculator to compute hypergeometric probabilities using the form below. Please type the total number of objects (N), the total number of defectives (K) and the sample size n, and provide details about the event you want to compute the probability for (The events are defined in terms of number of defectives in the sample):

Total number of objects \(N\) =
Total number of defectives \(K\) =
Sample Size (n) =
≤ X ≤
X ≤
X ≥

Hypergeometric Probability Calculator

Here we explain a bit more about the Hypergeometric distribution probability so you can make a better use of this Hypergeometric calculator: The hypergeometric probability is a type of discrete probability distribution with parameters \(N\) (total number of items), \(K\) (total number of defective items), and \(n\) (the sample size), that can take random values on the range of \([0, K]\). If \(X\) is a Hypergeometric random variable with parameters \(N\), \(K\) and \(n\) , then for \(k \in [0, K]\) we get

\[ \Pr(X = k) = \frac{\left( \begin{matrix} K \\ k \end{matrix}\right) \times \left( \begin{matrix} N-K \\ n-k \end{matrix}\right)}{\left( \begin{matrix} N \\ n \end{matrix}\right)} \]

A similar distribution is the binomial distribution (with the difference that the proportion of defectives remains constant when sampling without replacement. Check our binomial probability calculator. Another notable discrete distribution is the Poisson distribution, which you may be interested in checking out.

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