Properties of expected value and variance of a continuous random variable. a)Assume that X is a random variable and a and b are constant. With the integral definition of the expected value of a continuous random variable show that E(aX+b)=aE(x)+b and conclude like the theoretical questions of HW 3 , 2a) that V(aX + b) € b)Also using the fact that E(x) is a constant show that . V(X ) V(X) = E[(X – µ)³] = ÈX²) – [E(X)²
Properties of expected value and variance of a continuous random variable. a)Assume that X is a random variable and a and b are constant. With the integral definition of the expected value of a continuous random variable show that E(aX+b)=aE(x)+b and conclude like the theoretical questions of HW 3 , 2a) that V(aX + b) € b)Also using the fact that E(x) is a constant show that . V(X ) V(X) = E[(X – µ)³] = ÈX²) – [E(X)²
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 10E
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