Two fair dice are rolled and the outcomes are mapped to X an

Two fair dice are rolled, and the outcomes are mapped to X and Y. A third random variable Z = X - Y is computed. Find the PMF of Z. Find the joint PMF for X and Z. Find E[XZ]. Find the covariance. Find the correlation coefficient rho X,Z = Cov(X, Z)/ Var(X) Var(Z).

Solution

(a)

The value of Z can be calculated using all the possible outcomes as shown below-

From the table, we can get the frequency distribution of Z as-

As there are 36 possible cases, the probability distribution function of Z can be written as -

P(Z) = Frequency (Z) / 36.

So, we get the following PDF of Z-

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(b)

As for each \'X the distribution of \'Z\' is unique, and the value of Z depends upon the value of X

X Y Z
1 1 0
1 2 -1
1 3 -2
1 4 -3
1 5 -4
1 6 -5
2 1 1
2 2 0
2 3 -1
2 4 -2
2 5 -3
2 6 -4
3 1 2
3 2 1
3 3 0
3 4 -1
3 5 -2
3 6 -3
4 1 3
4 2 2
4 3 1
4 4 0
4 5 -1
4 6 -2
5 1 4
5 2 3
5 3 2
5 4 1
5 5 0
5 6 -1
6 1 5
6 2 4
6 3 3
6 4 2
6 5 1
6 6 0
 Two fair dice are rolled, and the outcomes are mapped to X and Y. A third random variable Z = X - Y is computed. Find the PMF of Z. Find the joint PMF for X an
 Two fair dice are rolled, and the outcomes are mapped to X and Y. A third random variable Z = X - Y is computed. Find the PMF of Z. Find the joint PMF for X an

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