(a) Find the marginal density function for Y,. , where Find the marginal density function for Y2. f2(Y2) = , where (b) Find P( Y, s Y, s (Enter your probability as a fraction.) (c) Find the conditional density function of Y, given Y2 = Y2. ]sv, sYz s[ ,where

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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We determined that
- [6(1 - Y2), 0 sy, sY2 s 1,
l0,
elsewhere,
is a valid joint probability density function.
(a) Find the marginal density function for Y,.
f,(v,) =
where
Find the marginal density function for Y,.
f,(v2) =
where
(b) Find P( Y, s- Y1
(Enter your probability as a fraction.)
(c) Find the conditional density function of Y, given Y, = Y2.
(y,\y2) =
where
Transcribed Image Text:We determined that - [6(1 - Y2), 0 sy, sY2 s 1, l0, elsewhere, is a valid joint probability density function. (a) Find the marginal density function for Y,. f,(v,) = where Find the marginal density function for Y,. f,(v2) = where (b) Find P( Y, s- Y1 (Enter your probability as a fraction.) (c) Find the conditional density function of Y, given Y, = Y2. (y,\y2) = where
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