In: Math
Suppose X is a discrete random variable with mean μ and variance σ^2. Let
Y = X + 1.
(a) Derive E(Y ).
(b) Derive V ar(Y ).
(a)
Given:
E(X) = 
Var(X) = 
Y = X + 1
To find E(X + 1):
Let p(X) be the Probability Mass Function of X.
Thus,


Thus, the answer is:

(b)
By Theorem:

Substituting
, we
get:


Thus, the answer is:
