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    1. Contents
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    2. Introduction to Probability
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    3. Basic Concepts
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    4. Conditional p Demo
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    5. Gambler's Fallacy
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    6. Permutations and Combinations
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    7. Birthday Demo
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    8. Binomial Distribution
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    9. Binomial Demonstration
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    10. Poisson Distribution
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    11. Multinomial Distribution
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    12. Hypergeometric Distribution
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    13. Base Rates
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    14. Bayes Demo
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    15. Monty Hall Problem
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    16. Statistical Literacy
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    17. Exercises
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  6. Research Design
  7. Normal Distribution
  8. Advanced Graphs
  9. Sampling Distributions
  10. Estimation
  11. Logic of Hypothesis Testing
  12. Tests of Means
  13. Power
  14. Regression
  15. Analysis of Variance
  16. Transformations
  17. Chi Square
  18. Distribution Free Tests
  19. Effect Size
  20. Case Studies
  21. Calculators
  22. Glossary
 

Hypergeometric Distribution

Author(s)

David M. Lane

Prerequisites

Binomial Distribution, Permutations and Combinations

The hypergeometric distribution is used to calculate probabilities when sampling without replacement. For example, suppose you first randomly sample one card from a deck of 52. Then, without putting the card back in the deck you sample a second and then (again without replacing cards) a third. Given this sampling procedure, what is the probability that exactly two of the sampled cards will be aces (4 of the 52 cards in the deck are aces). You can calculate this probability using the following formula based on the hypergeometric distribution:

formula where

k is the number of "successes" in the population
x is the number of "successes" in the sample
N is the size of the population
n is the number sampled
p is the probability of obtaining exactly x successes
kCx is the number of combinations of k things taken x at a time

In this example, k = 4 because there are four aces in the deck, x = 2 because the problem asks about the probability of getting two aces, N = 52 because there are 52 cards in a deck, and n = 3 because 3 cards were sampled. Therefore,

formula =

formula

The mean and standard deviation of the hypergeometric distribution are:

mean of hyper

sd hyper

Please answer the questions:
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