- 5.1.1 Two Discrete Random Variables
- 5.1.2 Two Continuous Random Variables
- 5.1.3 Independent Random Variables
- 5.1.4 More Than Two Random Variables
- 5.1.5 Conditional Distributions
- EXERCISES Section 5.1 (1-21)
There are many experimental situations in which more than one random variable (rv) will be of interest to an investigator. We first consider joint probability distributions for two random variables. The “pure” cases, in which both variables are discrete or both are continuous, are the ones most frequently encountered in practice.