• Chapter 2 – Linear Combinations of Random Variables

     

    When students have completed this lesson they should be able to:

    • E(aX + b) = aE(X) + b and Var(aX + b) = a^2Var(X)
    • E(aX + bY) = aE(X) + bE(Y)
    • Var(aX + bY) = a^2Var(X) + b^2Var(Y) for independent X and Y
    • If X has a normal distribution, then so does aX + b
    • Is X and Y have independent normal distributions, then aX + bY has a normal distribution
    • If X and Y have independent Poisson distributions, the X + Y has a Poisson distribution