Expected Values for Discrete Random Variables

Abstract

The probability mass function (PMF) discussed in Chapter 5 is a complete description of a discrete random variable. As we have seen, it allows us to determine probabilities of any event. Once the probability of an event of interest is determined,however, the question of its interpretation arises. Consider, for example, whether there is adequate rainfall in Rhode Island to sustain a farming endeavor.