Abstract

For the simple events of a sample space, we can define more than one random variable function; in fact, we can define infinitely many random variable functions, i.e., random variables, and for a variety number of random variables, we can define joint probability mass and cumulative distribution function. In this chapter, we provide information about joint probability mass functions of more than one random variable, functions of random variables, conditional probability mass functions, and corresponding mean and variance calculations. Solved examples are utilized to explain the subjects in a clear manner.

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