Abstract
In this chapter, the basic concepts for both discrete and continuous random variables were introduced. The definition of a random variable, a discrete random variable, and a continuous random variable, and the formulae of the probability mass function, probability density function, cumulative distribution function, complementary cumulative distribution function (tail function), expected value of a random variable, expected value of a function of a random variable, and the variance and standard deviation of a random variable have been provided. In addition to the solutions of some typical examples and problems for the discrete and continuous random variables, one well-known problem, i.e. newsboy (newsvendor) problem has also been presented.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have