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Suppose that Xis a random variable with meanμand variance\({\sigma ^2}\), and that the fourth moment ofXis finite. Show that \(E\left[ {{{\left( {X - \mu } \right)}^4}} \right] \ge {\sigma ^4}\).

Short Answer

Expert verified

\(E\left[ {{{\left( {X - \mu } \right)}^4}} \right] \ge {\sigma ^4}\)

Step by step solution

01

Given information

Let X be a random variable with mean \(\mu \) and variance\(\left( {{\sigma ^2}} \right)\).

The fourth moment of X is finite.

02

State and proof

Let, \(Y = {\left( {X - \mu } \right)^2}\)

Referring to the Exercise 4 for the information given below,

\(\begin{array}{c}Var\left( X \right) \ge 0\\E\left( {{X^2}} \right) - {\left[ {E\left( X \right)} \right]^2} \ge 0\\E\left( {{X^2}} \right) \ge {\left[ {E\left( X \right)} \right]^2}\end{array}\)

So,

\(\begin{array}{l}E\left( {{Y^2}} \right) \ge {\left[ {E\left( Y \right)} \right]^2}\\E\left[ {{{\left( {X - \mu } \right)}^4}} \right] \ge {\left[ {Var\left( X \right)} \right]^2}\\E\left[ {{{\left( {X - \mu } \right)}^4}} \right] \ge {\sigma ^4}\end{array}\)

Hence, proved.

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