On the hypergeometric distribution

In summary, the term "hypergeometric" was first used for series and differential equations, and was later applied to the distribution because of its connection to the hypergeometric function. The "hyper" part comes from the idea of going beyond the simplicity of a geometric series, while the "geometric" part refers to the use of the adjective in "geometric series". This term was first used by John Wallis in 1655, and was later explained as trying to find a square with the same area as a rectangle.
  • #1
madhavpr
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While I do understand the story of the hypergeometric distribution, I was wondering if there's anything "geometric" about it, or if there's any connection between the distribution and "geometry". Can anyone throw some light on it?

Thanks,
Madhav
 
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  • #2
I don't know the history, but I'll speculate that the "geometric" part comes from the use of the adjective "geometric" in "geometric series". I think a "hypergeometric series" is a generalization of the idea of a "geometric series".
 
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  • #3
Historically "hypergeometric" was first used for the series and differential equations. It was applied to the distribution because the probability generating function for the distribution involves a hypergeometric function. (That was the explanation provided to use many, many, many, years ago in graduate school.)
 
  • #4
statdad said:
Historically "hypergeometric" was first used for the series and differential equations. It was applied to the distribution because the probability generating function for the distribution involves a hypergeometric function. (That was the explanation provided to use many, many, many, years ago in graduate school.)

That seems like the right explanation. According to wikipedia:

The term "hypergeometric series" was first used by John Wallis in his 1655 book Arithmetica Infinitorum.

But why did Wallis call this series "hypergeometric"?
 
  • #5
According to the book "The words of mathematics: an etymological dictionary of mathematical terms used in english" by Steven Schwartzman, we have

hypergeometric ( adjective): from Greek -derived hyper- "over, beyond," and geometric (qq. v.) A hypergeometric series is so named because it "goes beyond" the complexity of a simple geometric series.

And finally, here is an explanation of why geometric series were called like this: https://www.math.toronto.edu/mathnet/questionCorner/arithgeom.html

So it is funny to realize that the name for the hypergeometric distribution (which measures the probability of winning in some sot of lottery) comes from trying to find a square with the same area as a rectangle.
 

1. What is the hypergeometric distribution?

The hypergeometric distribution is a probability distribution that describes the number of successes in a sequence of draws without replacement from a finite population. It is used to model situations where the sample is taken from a finite population without replacement, such as in quality control or survey sampling.

2. How is the hypergeometric distribution different from the binomial distribution?

The binomial distribution models the number of successes in a fixed number of independent Bernoulli trials, while the hypergeometric distribution models the number of successes in a fixed sample size drawn without replacement from a finite population. In other words, the binomial distribution assumes that each trial is independent and has the same probability of success, while the hypergeometric distribution takes into account the changing probability of success as the sample is drawn without replacement.

3. What are the parameters of the hypergeometric distribution?

The hypergeometric distribution has three parameters: N, the population size, K, the number of successes in the population, and n, the sample size.

4. How is the hypergeometric distribution used in real-life applications?

The hypergeometric distribution is commonly used in quality control to determine the probability of finding a certain number of defective items in a sample from a larger batch. It is also used in survey sampling to estimate the characteristics of a population based on a sample without replacement. Additionally, it is used in genetics to model the distribution of different types of alleles in a population.

5. What is the relationship between the hypergeometric distribution and the hypergeometric series?

The hypergeometric distribution is closely related to the hypergeometric series, which is a power series representing a special case of the hypergeometric function. The hypergeometric series is used to express the probability mass function of the hypergeometric distribution in terms of the population size, sample size, and number of successes in the population. This series is also used in statistical tests and estimation methods based on the hypergeometric distribution.

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