Chapter 16
Not Getting Hyper about the Hypergeometric Distribution
IN THIS CHAPTER
Looking into the conditions of the hypergeometric distribution
Finding probabilities for the hypergeometric distribution
Measuring the hypergeometric distribution’s mean, variance, and standard deviation
The hypergeometric distribution is different than the other distributions covered in this book. In a hypergeometric situation, you pull a sample and divide it into two groups: those you are interested in and those you aren’t. It’s based on combinations. You do it all at once, rather than in a series of trials. So you’re doing it without replacement.
In this chapter, you explore the characteristics of the hypergeometric distribution, find probabilities for it, and measure the mean, variance, and standard deviation. The big picture involves breaking the population into two subgroups: the subgroup that has the characteristic you are interested in and the subgroup that doesn’t have the characteristic you are interested in, and then taking a sample from each subgroup.
Identifying the Hypergeometric Distribution
A random variable X must meet the following conditions to have a hypergeometric distribution: ...
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