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The joint probability function

The joint probability function of two discrete r.v's X and Y is given by f(x, y) = c(2x+y), where x and y can assume all integers such that 0 ≤ x ≤2,0 ≤ y ≤ 3 and f(x,y) =0 otherwise. Find E(X), E(Y) , E(XY), E($X^2$), E($Y^2$), var(X), var(Y), cov(X, Y) and ϱ.

the joint probability distribution for X, Y, ... is a probability distribution that gives the probability that each of X, Y, ... falls in any particular range or discrete set of values specified for that variable. In the case of only two random variables, this is called a bivariate distribution, but the concept generalizes to any number of random variables, giving a multivariate distribution.


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X and Y are discrete RVs

To find c: We can tabulate the probabilities as follows:

$f(x,y)= c(2x+y)$         $0 ≤ x ≤ 2,0 ≤ y ≤ 3$

        =0

$X╲Y $ 0 1 2 3 Total
0 0 c 2c 3c 6c
1 2c 3c 4c 5c 14c
2 4c 5c …

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