Draw-based lotteries are a natural application of the hypergeometric: numbers are drawn without replacement from a finite set.

Example — The SuperEnalotto

You draw 66 numbers out of 9090 without replacement. The probability of guessing exactly kk of them having played 66 numbers is hypergeometric with N=90N=90, K=6K=6 (the 66 winning ones), n=6n=6 (played), k=k= number of hits: P(Sei)=P(X=6)=(66)(840)(906)=16226146301,6109.P(\text{Sei}) = P(X=6) = \frac{\binom{6}{6}\binom{84}{0}}{\binom{90}{6}} = \frac{1}{622\,614\,630}\approx 1{,}6\cdot 10^{-9}.

About one chance in six hundred and twenty-two million: it is the number of ways of choosing 66 numbers out of 9090. The hypergeometric model makes it immediate to compute also the probability of a “5”, a “4” and so on, simply by changing the value of kk.

Topics: Probability distributions
Concepts: Hypergeometric distribution
Methods: Hypergeometric distribution
Skills: Probability calculation · Modelling