5. Let X and Y be discrete random variables with the following joint probability function. Y f(x,y) = P(X=x,Y=y) 4 0.15 7 0.25 4 0.4 7 0.2 X 2 2 11 11 (a) Is the above a valid PMF? Verify (b) Using the table above find the expected value of X, E[X]. (c) Using the table above find the expected value of Y, E[Y].

A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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5. Let X and Y be discrete random variables with the following joint probability function.
Y f(x,y) = P(X=x,Y=y)
4 0.15
7
0.25
4 0.4
7
0.2
X
2
2
11
11
(a) Is the above a valid PMF? Verify
(b) Using the table above find the expected value of X, E[X].
(c) Using the table above find the expected value of Y, E[Y].
(d) Using the table above find the expected value of XY, E[XY].
(e) Determine the covariance of XY, note Cov(X, Y) = E[XY] - E[X] * E[Y].
Transcribed Image Text:5. Let X and Y be discrete random variables with the following joint probability function. Y f(x,y) = P(X=x,Y=y) 4 0.15 7 0.25 4 0.4 7 0.2 X 2 2 11 11 (a) Is the above a valid PMF? Verify (b) Using the table above find the expected value of X, E[X]. (c) Using the table above find the expected value of Y, E[Y]. (d) Using the table above find the expected value of XY, E[XY]. (e) Determine the covariance of XY, note Cov(X, Y) = E[XY] - E[X] * E[Y].
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