Urn model: closed formula for: at least a given number of blue balls

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I was discussing the following question with a friend but we are stuck, this is probably obvious for someone with a mathematical background.

Say we have an urn with $N$ balls of which a $M$ are blue. We now take $n$ balls out of the urn without putting them back. What is the probability of having at least $k$ blue balls.

Wikipedia tells me the probability of getting exaktly k blue balls is

$ P(X=k)=\frac{{n\choose k}{N-n\choose M-k}}{{N\choose M}}$

Is there a closed form solution for the probability for drawing i or more blue balls?

$\sum_i^N P(X=i)$

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Yes and no. You're asking for $$\sum\limits_{i=k}^n P(X=i)=1-\sum\limits_{i=0}^{k-1}P(X=i)=1-P(X\leq k-1),$$which is the cif of the hypergeometric distribution (see. wikipedia). If k=0, so you're asking the probability of having zero or more blue balls, the answer is obviously 1.