Hypergeometric Distribution

Model fixed-size random samples from finite populations without replacement. Explore feasible counts, combinatorial probabilities, expectations, negative dependence, the finite-population correction and binomial limits. Prerequisites: combinations, binomial models and variance. Applied cases examine quality inspections, complementary samples, selection bias and why matching a mean does not establish a model.

Further reading:

• Kyle Siegrist: Hypergeometric distribution

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