Description: In this lecture we explore the relationship between the integral and statistics. We start by determining the average value of a function over an integral which leads to the very important mean value theorem. We also derive formulas for the standard deviation and variance of a function. After a few examples, we transition to a discussion of continuous random variables and their associated probability density functions. This leads to a characterization of the integral of the pdf in terms of probability.
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