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What is Variance of Random Variables and Functions about?

The document defines the variance of a random variable as the expected value of the squared deviation from the mean. It then provides four properties of variance: 1) it can be defined in terms of the expected value of X2 and the square of the expected value of X, 2) the variance of aX is a2 times the variance of X, 3) shifting a random variable by a constant does not change its variance, and 4) the variance of a constant is 0. It introduces moment generating functions as a way to obtain the moments (such as

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sdklsjdflkajs

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EN