Expectation, Variance, and Moments

Writing down all values of random variables is, even if possible, not always useful because these numbers still might need reduction to “something simpler” that can be directly understood and interpreted. In this chapter, we introduce expectation values, variances, and various types of moments of random variables as such measures that condense a whole dataset into a single value.