1. The discrete random variables X and Y have known joint probability mass function [c x=0,1,2,L,9, y=0,1,2,L,9, yzx otherwise , where c = 1/55. 0 Pxy(x, y) given by Py(x, y) = Define the event B = {X² + y² ≤25}. a) Determine the conditional PMF P(x, y/B) of the random variables X and Y. b) Determine the conditional marginal PMFs P(x/B) and P(y/B) of the random variables X and Y. c) Determine the conditional correlation E{XY/B} of the random variables X and Y. (Take advantage of the solutions to Prob. 1 in Homework #8.)

MATLAB: An Introduction with Applications
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X and Y have known joint probability mass function
x=0,1,2,L,9, y=0,1,2,L,9, y≥x
where c = 1/55.
otherwise
1. The discrete random variables
Pxy(x, y) given by Pxy(x, y) =
Define the event B = {X² +Y² ≤25}. a) Determine the conditional PMF P(x, y/B) of the
random variables X and Y. b) Determine the conditional marginal PMFs P(x/B) and
Py(y/B) of the random variables X and Y. c) Determine the conditional correlation
E{XY/B} of the random variables X and Y. (Take advantage of the solutions to Prob. 1
in Homework #8.)
Solution for hw 8 is COV(X,Y)=3, correlation =1/2, not statistically independent
5
Transcribed Image Text:X and Y have known joint probability mass function x=0,1,2,L,9, y=0,1,2,L,9, y≥x where c = 1/55. otherwise 1. The discrete random variables Pxy(x, y) given by Pxy(x, y) = Define the event B = {X² +Y² ≤25}. a) Determine the conditional PMF P(x, y/B) of the random variables X and Y. b) Determine the conditional marginal PMFs P(x/B) and Py(y/B) of the random variables X and Y. c) Determine the conditional correlation E{XY/B} of the random variables X and Y. (Take advantage of the solutions to Prob. 1 in Homework #8.) Solution for hw 8 is COV(X,Y)=3, correlation =1/2, not statistically independent 5
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