Multiple Random Variables and Joint Distributions

Abstract

Multiple r.v.s are often involved in various random experiments. For instance, an educator might examine the joint behavior of study time and grades, while a physician may investigate the joint behavior of blood pressure and weight. Similarly, an economist could study the joint behavior of business volume and profit. Indeed, most practical problems entail multiple underlying r.v.s of interest. In some scenarios, more than one r.v. will be of interest. Therefore, the joint probability distributions for two discrete and two continuous r.v.s will be discussed and finally generalized for more than two variables.