Washington State University - Pullman Campus
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Overview 
Chapter 3 
The module covers special discrete random variables such as the Binomial, Hypergeometric, Negative Binomial, Geometric variables, and Poisson distribution. It also discusses continuous random variables, their cumulative distribution function, and expected values. 
 
Learning Goals: 
- Determine which discrete variable is most appropriate in different random experiments. 
- Compute probabilities, expected values and variances of Binomial, Hypergeometric, Negative Binomial, Ge...
Overview 
Chapter 2: 
This module covers the topic of probability, including essential concepts in set theory, fundamental properties of probabilities, counting techniques, theoretical probabilities, conditional probabilities, methods for computing probabilities in independent events, and discrete random variables. 
 
Learning Objectives: 
- Understand the notion of probability. 
- Learn how to compute theoretical probabilities using various probability rules. 
- Apply permutations and combinati...
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