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.
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© 2012 Steven M. Kay
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Kay, S.M. (2012). Expected Values for Discrete Random Variables. In: Intuitive Probability and Random Processes Using MATLAB®. Springer, Boston, MA. https://doi.org/10.1007/0-387-24158-2_6
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DOI: https://doi.org/10.1007/0-387-24158-2_6
Publisher Name: Springer, Boston, MA
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