Question

In: Statistics and Probability

This is the probability distribution between two random variables X and Y: Y \ X 0...

This is the probability distribution between two random variables X and Y:

Y \ X 0 1 2
3 0.1 0.2 0.2
4 0.2 0.2 0.1

a) Are those variables independent?

b) What is the marginal probability of X?

c) Find E[XY]

Solutions

Expert Solution

solution:

Given distribution of X and Y is

Y|X 0 1 2
3 0.1 0.2 0.2
4 0.2 0.2 0.1

b) Let's find the Margina Probability density functions of X

Px(X) =

P(X=0) = P(0,3) + P(0,4) = 0.1 + 0.2 = 0.3

P(X=1) = P(1,3) + P(1,4) = 0.2 + 0.2 = 0.4

P(X=2) = P(2,3) + P(2,4) = 0.2 + 0.1 = 0.3

a) Let's find the marginal probability density function of Y at Y=3

P(Y) =

P(Y=3) = P(0,3) + P(1,3) + P(2,3) = 0.1 + 0.2 + 0.2 = 0.5

If X and Y are independent then

P(Xi,Yj) = Px(Xi) * Py(Yj)

Let X = 0 and Y = 3

P(0,3) = 0.1

Now, P(X=0) * P(Y=3) = 0.3 * 0.5

= 0.15

!= P(0,3)

Therefore, X and Y are not independent variables

c)

E[XY] =

= ( 0 * 3 * 0.1 ) + ( 0 * 4 * 0.2 ) + ( 1 * 3 * 0.2 ) + ( 1 * 4 * 0.2 ) + ( 2 * 3 * 0.2 ) + ( 2 * 4 * 0.1 )

= 0 + 0 + 0.6 + 0.8 + 1.2 + 0.8

= 3.4

Therefore, E[XY] = 3.4


Related Solutions

The table below gives the joint distribution between random variables X and Y . y 0...
The table below gives the joint distribution between random variables X and Y . y 0 2 4 x 0 0.03 0.01 0.20 1 0.15 0.10 0.51 (a). [4pts] Find P(X = 0, Y = 2). 1 Problem 2(b). [6pts] Find E[X]. Problem 2(c). [6pts] Find Cov(X, Y ). Problem 2(d). [6pts] Find P(X = 1|Y = 2).
Suppose the joint probability distribution of two binary random variables X and Y are given as...
Suppose the joint probability distribution of two binary random variables X and Y are given as follows. x/y 1 2 0 3/10 0 1 4/10 3/10 X goes along side as 0 and 1, Y goes along top as 1 and 2 e) Find joint entropy H(X, Y ). f) Suppose X and Y are independent. Show that H(X|Y ) = H(X). g) Suppose X and Y are independent. Show that H(X, Y ) = H(X) + H(Y ). h)...
Define a joint distribution for two random variables (X,Y) such that (i) Cov(X,Y)=0 and (ii) E[Y...
Define a joint distribution for two random variables (X,Y) such that (i) Cov(X,Y)=0 and (ii) E[Y I X] is not equal to E[Y]. How do I define a joint distribution that satisfies both (i) and (ii) above at the same time? Please give me an example and explanation of how it meets the two conditions.
.The following table displays the joint probability distribution of two discrete random variables X and Y....
.The following table displays the joint probability distribution of two discrete random variables X and Y. -1 0 1 2 1 0.2 0 0.16 0.12 0 0.3 0.12 0.1 0 What is P(X=1/Y=1)?    What is the value of E(X/Y=1)?    What is the value of VAR(X/Y = 1)? What is the correlation between X and Y? What is variance of W = 4X - 2Y. What is covariance between X and W?
The joint probability distribution of random variables, X and Y, is shown in the following table:...
The joint probability distribution of random variables, X and Y, is shown in the following table: X 2 4 6 Y 1 0.10 0.20 0.08 2 0.06 0.12 0.16 3 0.15 0.04 0.09 (a) Calculate P ( X=4 | Y=1) (b) Calculate V (Y | X=2) . (c) Calculate V (3Y-X ) .
Provide an example that if the cov(X,Y) = 0, the two random variables, X and Y,...
Provide an example that if the cov(X,Y) = 0, the two random variables, X and Y, are not necessarily independent. Would you please give the example specifically and why?
Provide an example that if the cov(X,Y) = 0, the two random variables, X and Y,...
Provide an example that if the cov(X,Y) = 0, the two random variables, X and Y, are not necessarily independent. Would you please give the example specifically and why?
Let X and Y be two discrete random variables whose joint probability distribution function is given...
Let X and Y be two discrete random variables whose joint probability distribution function is given by f(x, y) = 1 12 x 2 + y for x = −1, 1 and y = 0, 1, 2 a) Find cov(X, Y ). b) Determine whether X and Y are independent or not. (Justify your answer.
X and Y are discrete random variables with joint distribution given below Y 1 Y 0...
X and Y are discrete random variables with joint distribution given below Y 1 Y 0 Y 1 X 1 0 1/4 0 X 0 1/4 1/4 1/4 (a) Determine the conditional expectation E Y|X 1 . (b) Determine the conditional expectation E X|Y y for each value of y. (c) Determine the expected value of X using conditional expectation results form part (b) above. (d) Now obatin the marginal distribution of X and verify your answers to part (c).
Let X and Y be random variables. Suppose P(X = 0, Y = 0) = .1,...
Let X and Y be random variables. Suppose P(X = 0, Y = 0) = .1, P(X = 1, Y = 0) = .3, P(X = 2, Y = 0) = .2 P(X = 0, Y = 1) = .2, P(X = 1, Y = 1) = .2, P(X = 2, Y = 1) = 0. a. Determine E(X) and E(Y ). b. Find Cov(X, Y ) c. Find Cov(2X + 3Y, Y ).
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT