ProbabilityLesson 2 of 4 in the course Discrete Random Variables

Hypergeometric Distribution: Probabilities, Feasible Counts, and Moments

5 flashcards · 5 quiz questions · 5 match pairs · 5 fill-in sentences · English

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Summary

The hypergeometric distribution models how many members of a group of interest appear in a sample drawn from two groups when sampling is done without replacement. Because selected items are not returned, the probabilities change from one draw to the next.

For example, suppose a softball team is selected from 11 men and 13 women. If a woman is selected first, the probability that the second person selected is a man is 11/2311/23. If a man is selected first, that probability is 10/2310/23. The second probability depends on the first selection, illustrating why the draws are dependent.

All flashcards

What is a hypergeometric experiment?
An experiment that samples without replacement from a population consisting of two groups and counts how many sampled items belong to a designated group of interest.
What do the parameters in X∼H(r,b,n)X \sim H(r,b,n) mean?
rr is the size of the group of interest, bb is the size of the other group, and nn is the sample size. The variable XX counts selected items from the group of interest.
How do you calculate P(X=x)P(X=x) for a hypergeometric random variable?
Use P(X=x)=(rx)(bn−x)(r+bn)P(X=x)=\frac{\binom{r}{x}\binom{b}{n-x}}{\binom{r+b}{n}}, which divides the number of samples with exactly xx items from the group of interest by the number of all samples of size nn.
What are the feasible values of XX?
They range from max⁡(0,n−b)\max(0,n-b) to min⁡(n,r)\min(n,r), inclusive.
What are the mean and standard deviation formulas?
The mean is μ=nrr+b\mu=n\frac{r}{r+b}. The standard deviation is σ=rbn(r+b−n)(r+b)2(r+b−1)\sigma=\sqrt{\frac{rbn(r+b-n)}{(r+b)^2(r+b-1)}}.

Quiz questions

  1. Why are successive selections in a hypergeometric experiment dependent?Answer: Without replacement, each selection changes the composition of the remaining population.
  2. In X∼H(r,b,n)X \sim H(r,b,n), what does rr represent?Answer: The size of the group of interest.
  3. Which expression gives the probability of exactly xx items from the group of interest?Answer: (rx)(bn−x)(r+bn)\frac{\binom{r}{x}\binom{b}{n-x}}{\binom{r+b}{n}}
  4. A sample of 9 students is drawn from 16 business majors and 7 non-business majors. If XX counts business majors, what is the smallest possible value of XX?Answer: 2, since no more than 7 non-business majors can be selected.
  5. A committee of 7 is chosen from 15 men and 18 women. If XX counts men, which expression represents the probability of more than 4 men?Answer: P(X=5)+P(X=6)+P(X=7)P(X=5)+P(X=6)+P(X=7) for X∼H(15,18,7)X \sim H(15,18,7)

Based on Introductory Statistics 2e by Barbara Illowsky, Susan Dean (OpenStax), licensed CC BY 4.0. Adapted into a summary, flashcards and quizzes.

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