3 Suppose X is a random variable distributed with mean µ and standard deviation o >0. If the random variable Y is defined as Y = µ(X 2 - µX)/o 2 , then E(Y) is: а. О b. 1 c. μ/σ d. E(X)

3Suppose X is a random variable distributed with<br>mean µ and standard deviation o >0. If the<br>random variable Y is defined as Y = µ(X 2 -<br>µX)/o 2 , then E(Y) is:<br>а. О<br>b. 1<br>c. μ/σ<br>d. E(X)<br>

Extracted text: Suppose X is a random variable distributed with mean µ and standard deviation o >0. If the random variable Y is defined as Y = µ(X 2 - µX)/o 2 , then E(Y) is: а. О b. 1 c. μ/σ d. E(X)

Jun 06, 2022
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