(g) Find P (Y > |X = }). (h) Find P (X < 1|Y < }).

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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2. Let (X,Y) be a continuous bivariate random variable having the joint probabilit;
density function
f(x, y)
= cxy, 0<x <y< 2
for some real constant c.
(a) Sketch the graph of the support of (X,Y).
(b) Find the value of c.
(c) Find fx(x), the marginal probability density function of X.
(d) Find fy(y), the marginal probability density function of Y.
(e) Compute µx, µY , ox,oỷ, Cov(X,Y), and p.
(f) Find g(y|x = }), the conditional probability density function of Y given X = }.
(g) Find P (Y > {|X = }).
(h) Find P (X < 1|Y < ).
Transcribed Image Text:2. Let (X,Y) be a continuous bivariate random variable having the joint probabilit; density function f(x, y) = cxy, 0<x <y< 2 for some real constant c. (a) Sketch the graph of the support of (X,Y). (b) Find the value of c. (c) Find fx(x), the marginal probability density function of X. (d) Find fy(y), the marginal probability density function of Y. (e) Compute µx, µY , ox,oỷ, Cov(X,Y), and p. (f) Find g(y|x = }), the conditional probability density function of Y given X = }. (g) Find P (Y > {|X = }). (h) Find P (X < 1|Y < ).
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