WorksheetFunction.HypGeom_Dist Method (Excel)
Returns the hypergeometric distribution. HYPGEOM_DIST returns the probability of a given number of sample successes, given the sample size, population successes, and population size. Use HYPGEOM_DIST 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.
Version Information
Version Added: Excel 2010
Syntax
expression .HypGeom_Dist(Arg1, Arg2, Arg3, Arg4)
expression A variable that represents a WorksheetFunction object.
Parameters
Name |
Required/Optional |
Data Type |
Description |
---|---|---|---|
Arg1 |
Required |
Double |
Sample_s - the number of successes in the sample. |
Arg2 |
Required |
Double |
Number_sample - the size of the sample. |
Arg3 |
Required |
Double |
Population_s - the number of successes in the population. |
Arg4 |
Required |
Double |
Number_population - the population size. |
Arg5 |
Optional |
Variant |
Cumulative - a logical value that determines the form of the function. If cumulative is TRUE, then HYPGEOM_DIST returns the cumulative distribution function; if FALSE, it returns the probability mass function. |
Return Value
Double
Remarks
All arguments are truncated to integers.
If any argument is nonnumeric, HYPGEOM_DIST returns the #VALUE! error value.
If sample_s < 0 or sample_s is greater than the lesser of number_sample or population_s, HYPGEOM_DIST returns the #NUM! error value.
If sample_s is less than the larger of 0 or (number_sample - number_population + population_s), HYPGEOM_DIST returns the #NUM! error value.
If number_sample ≤ 0 or number_sample > number_population, HYPGEOM_DIST returns the #NUM! error value.
If population_s ≤ 0 or population_s > number_population, HYPGEOM_DIST returns the #NUM! error value.
If number_population ≤ 0, HYPGEOM_DIST returns the #NUM! error value.
The equation for the hypergeometric distribution is: where: x = sample_s n = number_sample M = population_s N = number_population HYPGEOM_DIST is used in sampling without replacement from a finite population.