1.suppose that Y1 and Y2 are independent random variables
2.suppose that Y1 and Y2each have a mean of A and a variance of B
3.suppose X1 and X2 are related to Y1 and Y2 in the following way:
X1=C/D x Y1
X2= CY1+DY2
4.suppose A, B, C, and D are constants
What is the expected value of X1?
What is the expected value of X2?
What is the variance of X1?
Given that
Mean of Y1 AND Y2: E(Y1) = E(Y2) = A
Variance of Y1 and Y2: V(Y1) = V(Y2) = B
Covariance Y1 and Y2: Cov(Y1,Y2) = 0 (since they are independent)
X1 = (C/D)*Y1 and X2 = CY1 + DY2
Now, some rules regarding exoected value and variance are:
E(k) = k
E(kX) = k*E(X)
E(kX + sY) = k*E(X) + s*E(Y)
V(k) = 0
V(kX) = k2 * V(X)
where k,s = constant
(1) Expected value of X1 = E(X1) = E[(C/D)*Y1] = (C/D) * E(Y1) = (C/D) * A
So, E(X1) = (C/D) * A
(2) Expected value of X2 = E(X2) = E(CY1 + DY2) = C * E(Y1) + D * E(Y2) = C * A + D * A = (C + D) * A
So, E(X2) = (C + D) * A
(3) Variance of X1 = V(X1) = V[(C/D)*Y1] = (C2/D2) * V(Y1) = (C2/D2) * B
So, V(X1) = (C2/D2) * B
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