The joint probability density function of the continuous random variables X and Y is = {*=" Find g(x), the marginal probability density function of X? (-y-½ 0

A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
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Chapter1: Combinatorial Analysis
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The joint probability density function of the continuous random variables X and Y is
= { t =
0
Find g(x), the marginal probability density function of X?
B: g(x) =
- {%
=
0
A: g(x) =
=
D: g(x) =
-y- / 0≤x≤ 1
0
otherwise
f(x, y)
- X 0≤x≤1
otherwise'
0
xy - v²
{214-4²
0
G: g(x) =
x-y 0≤x≤1,−1≤ y ≤0
otherwise
0≤x≤1
otherwise
E: g(x) =
= {J}
0
H: g(x) =
/ 0≤x≤1
otherwise
0≤x≤1
otherwise
(2².
C: g(x) =
F: g(x) =
- xy 0≤x≤1
0
otherwise
{
- y
0
{ x + }
0
0≤x≤1
otherwise
0≤x≤1
otherwise
I: Neither
Transcribed Image Text:The joint probability density function of the continuous random variables X and Y is = { t = 0 Find g(x), the marginal probability density function of X? B: g(x) = - {% = 0 A: g(x) = = D: g(x) = -y- / 0≤x≤ 1 0 otherwise f(x, y) - X 0≤x≤1 otherwise' 0 xy - v² {214-4² 0 G: g(x) = x-y 0≤x≤1,−1≤ y ≤0 otherwise 0≤x≤1 otherwise E: g(x) = = {J} 0 H: g(x) = / 0≤x≤1 otherwise 0≤x≤1 otherwise (2². C: g(x) = F: g(x) = - xy 0≤x≤1 0 otherwise { - y 0 { x + } 0 0≤x≤1 otherwise 0≤x≤1 otherwise I: Neither
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