课程: Probability Foundations for Data Science

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Hypergeometric distribution

Hypergeometric distribution

课程: Probability Foundations for Data Science

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Hypergeometric distribution

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- [Instructor] In this video, I will show you how to use the hypergeometric distribution to explore the probability of obtaining successes in a different way than you saw prior. The hypergeometric distribution works with discrete random variables where there are only two possible values that are denoted with a one for success and a zero for failure for one or more Bernoulli trials. This time though, the trials are made without replacement. Without replacement means the composition of the sample space changes after each trial making them dependent on each other. This is different from the other distributions like the binomial distribution where each trial is independent because each value is replaced at the end of each trial. The hypergeometric distribution is represented by the following variables. N is the population size with the total number of items in the sample space. K is the total number of successes in the population. n is the number of items drawn from the population, and…

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