Chapter 3 Discrete Random Variables and Distributions

3.1 Random Variables

3.2 Probability Mass Functions (PMFs)

3.3 Cumulative Distribution Functions (CDFs)

3.4 Expected Value and Properties

3.5 Variance and Standard Deviation

3.6 Common Discrete Distributions: Binomial, Geometric, Poisson, Negative Binomial, Multinomial