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in Probability Distribution by (45.1k points)
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Let X be a discrete random variable. Then the variance of X is

A. E(X2)

B. E(X2) + (E(X))2

C. E(X2) – (E(X))2

D. \(\sqrt{E(X^2)-(E(X))^2}\)

1 Answer

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Best answer

Let X be a random variable whose possible values X1, X2, .......... Xn

Possibilities p(x1), p(x2),…………p(xn) respectively.

Let µ = E (X) be the mean of X. The variance of X, denoted by Var (X) \(\sigma^2_x\) or defined as

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