5. (10 points) Random variables X and Y have following distributions (o) (1 poin
ID: 3318106 • Letter: 5
Question
5. (10 points) Random variables X and Y have following distributions (o) (1 point) Find the moment generating fiunction of the following random variable. P(X =-2) = 1/2, P(X = 3) = 1/3,P(X = 5) = 1 /6 (b) (1 point) Find the moment generating function of the following random variable. P(Y =-1)-1/2, P(Y = 2-1/4, P(Y = 4-1/4 (c) (1 point) Use the moment generating function to find E|X] (d) (1 point) Use the moment generating function to find E[X] (e) (1 point) Use the moment generating function to find E[X3] (f) (1 point) Use the moment generating function to find ElY] (g) (1 point) Use the moment generating function to find EYExplanation / Answer
a) The MGF for X here is obtained as:
Mx(t) = E[ ext ] = 0.5e-2t + (1/3)e3t + (1/6)e5t
This is the required MGF for X here.
b) The MGF for Y here is obtained as:
My(t) = E[ eyt ] = 0.5e-t + 0.25e2t + 0.25e4t
This is the required MGF for Y here.
c) Differentiating the MGF for X, we get:
Mx'(t) = -1e-2t + e3t + (5/6)e5t
Now the expected value of X here is computed as:
E(X) = Mx'(0) = -1 + 1 + (5/6) = (5/6)
Therefore E(X) = 5/6
d) The above derivative of MGF is again differentiated here to get:
Mx''(t) = 2e-2t + 3e3t + (25/6)e5t
The second moment of X here is obtained as:
E(X2) = Mx''(0) = 2 + 3 + (25/6) = 9.1667
e) Again the MGF is differentiated and 0 is inserted to get the third moment of X as:
E(X3) = Mx'''(0) = -4 + 9 + (125/6)= 25.8333
f) In a similar way to X, the three moments of Y are also obtained here as:
E(Y) = My'(0) = -0.5 + 0.5 + 1 = 1
g) E(Y2) = My''(0) = 0.5 + 1 + 4 = 5.5
h) E(Y3) = My'''(0) = -0.5 + 2 + 16 = 17.5
i) Now the expected value of X + Y here is computed as:
E(X + Y) = E(X) + E(Y) = (5/6) + 1 = 11/6 = 1.8333
Therefore E(X + Y) = 1.8333
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