1. Show that Cov(XY) = E[XY] - E[X]E[Y]. Remember that gx = E[X] and gy = E[Y].
2. Prove that Var( X + Y) = Var X + Var Y + 2 Cov( X, Y).
3. Use the result of Exercise 25 to show that if A and Y are independent then Var( X + Y) = Var X + Var Y. This proves the third rule for variance.
Exercise 25
Prove that Var( X + Y) = Var X + Var Y + 2 Cov( X, Y).