For k random variables X1, X2, ... , Xk, the values of their joint moment-generating function are given by
![](https://test.transtutors.com/qimg/1314a418-999a-4891-bd32-bbb4f11bbc15.png)
(a) Show for either the discrete case or the continuous case that the partial derivative of the joint momentgenerating function with respect to ti at t1 = t2 = ··· = tk = 0 is E(Xi).
(b) Show for either the discrete case or the continuous case that the second partial derivative of the joint moment-generating function with respect to
![](https://test.transtutors.com/qimg/c7dd1b0d-a433-40ae-81ff-f0bd2346d343.png)
(c) If two random variables have the joint density given by
![](https://test.transtutors.com/qimg/7994ae6f-942a-4581-b73f-fa5c31d7aaff.png)
find their joint moment-generating function and use it to determine the values of E(XY), E(X), E(Y), and cov(X, Y).