2. The continuous random variables X and Y have known joint probability density function f(x,y) given by [(4x+2y)/3 0≤x≤ 1,0 sysl fxy(x, y) = 0 otherwise Define the event B as B = {X + Y ≤ ¹}. a) Determine the conditional joint probability density function f(x,y/B) of the random variables x and y. b) Determine the marginal probability density functions fx(x/B) and fy(y/B) of the random variables X and Y. c) Determine the conditional correlation E{XY/B)} of the random variables X and Y.

MATLAB: An Introduction with Applications
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2. The continuous random variables X and Y have known
joint probability density function f(x,y) given by
[(4x+2y)/3 0≤ x ≤l, 0≤ysl
0
fxy (x, y) =
3) = {(4x +
otherwise Define the event B as
B = {X + Y ≤ ¹}. a) Determine the conditional joint probability
density function f(x,y/B) of the random variables x and y.
b) Determine the marginal probability density functions
fx(x/B) and fy(y/B) of the random variables X and Y. c)
Determine the conditional correlation E{XY/B)} of the random
variables X and Y.
.
Transcribed Image Text:2. The continuous random variables X and Y have known joint probability density function f(x,y) given by [(4x+2y)/3 0≤ x ≤l, 0≤ysl 0 fxy (x, y) = 3) = {(4x + otherwise Define the event B as B = {X + Y ≤ ¹}. a) Determine the conditional joint probability density function f(x,y/B) of the random variables x and y. b) Determine the marginal probability density functions fx(x/B) and fy(y/B) of the random variables X and Y. c) Determine the conditional correlation E{XY/B)} of the random variables X and Y. .
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