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Where
N = number of units in the population,
n = number of units in the sample, and
k = number of successes in the population.
The hyper geometric probability distribution has three parameters N, n and k.
The hyper geometric probability distribution is appropriate when
• a random sample of size n is drawn WITHOUT REPLACEMENT from a finite population of N units;
• k of the units are of one kind (classified as success) and the remaining N – k of another kind (classified as
failure)