Question

In: Statistics and Probability

You roll two fair dice, and denote the number they show by X and Y. Let...

  1. You roll two fair dice, and denote the number they show by X and Y. Let U = min{X, Y } and V = max{X, Y }. Write down the joint probability mass function of (U, V ) and compute ρ(U, V ) i.e the correlation coefficient of U and V

Solutions

Expert Solution

Following is the sample space of the rolling of two fair dice:

U shows the minimum of two dice. For example: for outcome (1,2) , U is 1.

V shows the maximum of two dice. For example: for outcome (1,2) , V is 2.

Since there are two outcome (1,2) and (2,1) for which minimum is 1 and maximum is 2. So

P(U=1, V=2) = 2/36

Likewise following table shows the joint pdf of U and V:

U
1 2 3 4 5 6 P(V=v)
1 1/36 0 0 0 0 0 1/36
2 2/36 1/36 0 0 0 0 3/36
V 3 2/36 2/36 1/36 0 0 0 5/36
4 2/36 2/36 2/36 1/36 0 0 7/36
5 2/36 2/36 2/36 2/36 1/36 0 9/36
6 2/36 2/36 2/36 2/36 2/36 1/36 11/36
P(U=u) 11/36 9/36 7/36 5/36 3/36 1/36 1

---------------------------

Now we need to find the mean and variance of U and V and E(UV). Following table shows the calculations for E(UV):

U V P(U=u, V=v) U*V*P(U=u, V=v)
1 1 1/36 1/36
1 2 2/36 4/36
1 3 2/36 6/36
1 4 2/36 8/36
1 5 2/36 10/36
1 6 2/36 12/36
2 1 0 0
2 2 1/36 4/36
2 3 2/36 12/36
2 4 2/36 16/36
2 5 2/36 20/36
2 6 2/36 24/36
3 1 0 0
3 2 0 0
3 3 1/36 9/36
3 4 2/36 24/36
3 5 2/36 30/36
3 6 2/36 36/36
4 1 0 0
4 2 0 0
4 3 0 0
4 4 1/36 16/36
4 5 2/36 40/36
4 6 2/36 48/36
5 1 0 0
5 2 0 0
5 3 0 0
5 4 0 0
5 5 1/36 25/36
5 6 2/36 60/36
6 1 0 0
6 2 0 0
6 3 0 0
6 4 0 0
6 5 0 0
6 6 1/36 36/36
Total 441/36

So,

---------------------

Following table shows the calculations for mean and var of U:

U P(U=u) u*P(U=u) u^2*P(U=u)
1 1/36 1/36 1/36
2 3/36 6/36 12/36
3 5/36 15/36 45/36
4 7/36 28/36 112/36
5 9/36 45/36 225/36
6 11/36 66/36 396/36
Total 161/36 791/36

So,

--------------------------------------------------------

Following table shows the calculations for mean and var of V:

V P(V=v) v*P(V=v) v^2*P(V=v)
1 11/36 11/36 11/36
2 9/36 18/36 36/36
3 7/36 21/36 63/36
4 5/36 20/36 80/36
5 3/36 15/36 75/36
6 1/36 6/36 36/36
Total 91/36 301/36

So,

The covariance is

Cov(U,V) = E(UV) - E(U) E(V) = 12.25 - (161/36) * (91/36) = 0.9452

Therefore correlation coefficient is


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