Returns the hypergeometric distribution. HYPGEOMDIST returns the probability of a given number of sample successes, given the sample size, population successes, and population size. Use HYPGEOMDIST for problems with a finite population, where each observation is either a success or a failure, and where each subset of a given size is chosen with equal likelihood.
Sample_s is the number of successes in the sample.
Number_sample is the size of the sample.
Population_s is the number of successes in the population.
Number_population is the population size.
- All arguments are truncated to integers.
- If any argument is nonnumeric, HYPGEOMDIST returns the #VALUE! error value.
- If sample_s < 0 or sample_s is greater than the lesser of number_sample or population_s, HYPGEOMDIST returns the #NUM! error value.
- If sample_s is less than the larger of 0 or (number_sample - number_population + population_s), HYPGEOMDIST returns the #NUM! error value.
- If number_sample < 0 or number_sample > number_population, HYPGEOMDIST returns the #NUM! error value.
- If population_s < 0 or population_s > number_population, HYPGEOMDIST returns the #NUM! error value.
- If number_population < 0, HYPGEOMDIST returns the #NUM! error value.
- The equation for the hypergeometric distribution is:
x = sample_s
n = number_sample
M = population_s
N = number_population
HYPGEOMDIST is used in sampling without replacement from a finite population.
A sampler of chocolates contains 20 pieces. Eight pieces are caramels, and the remaining 12 are nuts. If a person selects 4 pieces at random, the following function returns the probability that exactly 1 piece is a caramel:
HYPGEOMDIST(1,4,8,20) equals 0.363261