# HyperGeometric distribution ¶

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The HyperGeometric distribution $H(N, K, n)$ is representing the probability of having a number of successes $K$ in a finite set of size $N$, given that we made $n$ trials without replacement.

• $n$ is the number of trials/draws
• $K$ is the number of successes
• $N$ is the total number of elements
• without replacement

So we have

• The mass function is $\mathbb{P}(X=k) = {{{K \choose k}{{N-K} \choose {n-k}}} \over {N \choose n}}$
• $\mathbb{E}(X) = \ n * \frac{K}{N}$
• $\mathbb{V}(X) = \ \mathbb{E}(X) * (1 - \frac{K}{N}) * \frac{N-n}{N-1}$