Unit 5 Data Lesson 4 - Hypergeometric Distributions
This deck covers key concepts of hypergeometric distributions, including conditions, probability, and expected value calculations.
conditions for hypergeometric distribution
The hypergeometric distribution is one unlike any of the others. There are 3 conditions which must be fulfilled:
Trials that are not identical
Trials that are dependent
Two possible outcomes; success or failure
Key Terms
conditions for hypergeometric distribution
The hypergeometric distribution is one unlike any of the others. There are 3 conditions which must be fulfilled:
Trials that are not identical
hypergeometric distribution probability
Hypergeometric distribution probability formula
P(x) = (aCx)(n-aCr-x) where n = # of po...
hypergeometric distribution expected value
Hypergeometric distribution expected value = probability of success times the number of dependent trials.
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| Term | Definition |
|---|---|
conditions for hypergeometric distribution | The hypergeometric distribution is one unlike any of the others. There are 3 conditions which must be fulfilled: |
hypergeometric distribution probability | Hypergeometric distribution probability formula P(x) = (aCx)(n-aCr-x) where n = # of possible outcomes Exemple - in five card stud poker, each player is dealt 5 cards. Determine the probability of being dealt three clubs. P(x) = (13C3)(39C2) |
hypergeometric distribution expected value | Hypergeometric distribution expected value = probability of success times the number of dependent trials. E(x) = r (a/n) Example - in five card stud poker, each player is dealt five cards. Determine how many clubs you should expect to receive. |