Suppose that the random variables Y1 and Y2 have joint probability density function, f(y1, y2), givez J6y¡y2, 0

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Suppose that the random variables Y1 and Y2 have joint probability density function, f(y1, y2), given
6y y2, 0syı < y2, y1 + y2 < 2
fV1, y2) = -
0,
elsewhere
Derive the marginal density of Y1.
Derive the marginal density of Y2.(Hint: this will have to broken down into two parts!!!)
Derive the conditional density of Y2 given Y1 = y1.
Find P(Y2 < 1.1 | Y1 = .60).
%D
Transcribed Image Text:Suppose that the random variables Y1 and Y2 have joint probability density function, f(y1, y2), given 6y y2, 0syı < y2, y1 + y2 < 2 fV1, y2) = - 0, elsewhere Derive the marginal density of Y1. Derive the marginal density of Y2.(Hint: this will have to broken down into two parts!!!) Derive the conditional density of Y2 given Y1 = y1. Find P(Y2 < 1.1 | Y1 = .60). %D
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Let Y and Y have a joint probability density function f(y1,y2)

           f(y1,y2)=6y12y2  ;   0y1y2, y+y220          ;     otherwise

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