# MATH 345 - Probability (Kuter)

- Page ID
- 3243

- 3: Discrete Random Variables
- 3.1: Introduction to Random Variables
- 3.2: Probability Mass Functions (PMFs) and Cumulative Distribution Functions (CDFs) for Discrete Random Variables
- 3.3: Bernoulli and Binomial Distributions
- 3.4: Hypergeometric, Geometric, and Negative Binomial Distributions
- 3.5: Poisson Distribution
- 3.6: Expected Value of Discrete Random Variables
- 3.7: Variance of Discrete Random Variables
- 3.8: Moment-Generating Functions (MGFs) for Discrete Random Variables

- 4: Continuous Random Variables
- 4.1: Probability Density Functions (PDFs) and Cumulative Distribution Functions (CDFs) for Continuous Random Variables
- 4.2: Expected Value and Variance of Continuous Random Variables
- 4.3: Uniform Distributions
- 4.4: Normal Distributions
- 4.5: Exponential and Gamma Distributions
- 4.6: Weibull Distributions
- 4.7: Chi-Squared Distributions
- 4.8: Beta Distributions