The random variables, X and Y , have the joint pmf f(x,y)=c(x+2y), x=1,2 y=1,2 and zero otherwise.
1. Find the constant, c, such that f(x,y) is a valid pmf.
2. Find the marginal distributions for X and Y .
3. Find the marginal means for both random variables.
4. Find the marginal variances for both random variables.
5. Find the correlation of X and Y .
6. Are the two variables independent? Justify.
1) f(x, y) = c(x + 2y)
P(X = 1, Y = 1) = 3c,
P(X = 2, Y = 1) = 4c,
P(X = 1, Y = 2) = 5c,
P(X = 2, Y = 2) = 6c
Sum of all probabilities should be 1. Therefore 18c = 1
Therefore c = 1/18
2) The marginal distributions for X and Y are obtained here as:
P(X = 1) = 4/9 and P(X = 2) = 5/9
P(Y = 1) = 7/18 and P(Y = 2) = 11/18
3) The marginal means are computed here as:
E(X) = 1(4/9) + 2(5/9) = 14/9
E(Y) = 1(7/18) + 2(11/18) = 29/18
4) The marginal variances are computed as:
E(X2) = 1(4/9) + 22(5/9) = 8/3
E(Y2) = 1(7/18) + 22(11/18) = 17/6
Var(X) = E(X2) - [E(X)]2 = (8/3) -
(14/9)2 = 20/81
Var(Y) = E(Y2) - [E(Y)]2 = (17/6) -
(29/18)2 = 77/324
5) E(XY) = 3c + 8c + 10c + 24c = 45c = 45/18 = 15/6 = 5/2
Cov(X, Y) = E(XY) - E(X)E(Y) = (5/2) - (14/9)*(29/18) = -1/162
Therefore correlation here is computed as:
6) As cov(X,Y) is not equal to 0, therefore the 2 variables are not independent here.
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