ABSTRACT
As discussed earlier, the mean μ and the variance σ2 of a random variable are constants characterizing the random variable’s average value and dispersion about its mean. The mean and variance can also be derived from the probability distribution function (pdf) of the random variable. If the pdf is unknown, however, the mean and the variance can be estimated on the basis of a random sample of some, but not all, observations on the random variable.
