Calculates values for a hypergeometric distribution.
HYPGEOMDIST(x, n, M, N)
The hypergeometric distribution is a discrete probability distribution giving the probability of x successes in a sequence of n draws (without replacement) from a finite population of size N which contains M successes.
HYPGEOMDIST calculates the probability density function of the hypergeometric distribution:
which is
HYPGEOMDIST(2, 3, 3, 6)
returns 0.45. If an urn contains 3 red balls and 3 green balls, the probability that 2 red balls will be selected after 3 draws without replacement is 27/60 = 0.45.
Imagine a quality control scenario in a factory. You have a batch of 50 circuit boards, and you know from past experience that 5 of them are defective. You randomly select 10 circuit boards from the batch to test. You want to know the probability of finding exactly 2 defective circuit boards in your sample.
This is an application of using the HYPGEOMDIST function, which calculates the probability of a given number of successes in a sample drawn without replacement from a finite population.
Here's how the values would break down for the HYPGEOMDIST function:
Parameter | Value | Description | ||
|---|---|---|---|---|
A | B | C | ||
1 | Sample_S | 2 | The number of successes in the sample (the number of defective boards you want to find). | |
2 | Number_sample | 10 | The size of the sample (the number of boards you are testing). | |
3 | Population_S | 5 | The number of successes in the population (the total number of defective boards in the batch). | |
4 | Number_population | 50 | The total size of the population (the total number of boards in the batch). |
The HYPGEOMDIST function would then be used as follows:
HYPGEOMDIST(2, 10, 5, 50)
This would return the probability of finding exactly 2 defective circuit boards in your sample of 10. The result is approximately 0.2098, or 20.98%. This means there is a 20.98% chance that you will find exactly two defective boards in your random sample.
Result for HYPGEOMDIST(2, 10, 5, 50):
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