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3.6 From the marginal pdf of X, fx (x), in #3.1, give the cumulative distribution function of X, Fx (x). 3.7 Find the following: (a) P[X > 1.2] from the cdf of X in #3.6 (b) P[Y< ½ |X = 1] (refer to #3.3) (c) E[ Y |X = 1 ] (refer to #3.3)

3.6 From the marginal pdf of X, fx (x), in #3.1, give the cumulative distribution function of X, Fx (x). 3.7 Find the following: (a) P[X > 1.2] from the cdf of X in #3.6 (b) P[Y< ½ |X = 1] (refer to #3.3) (c) E[ Y |X = 1 ] (refer to #3.3)

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Determine the marginal pdf of X, fx(x). Give the conditional density of Y, given X = Xo, fy\x(y|xo). 3.6 From the marginal pdf of X, fx (x), in #3.1, give the cumulative distribution function of X, Fx (x). 3.7 Find the following: (a) P[X > 1.2] from the cdf of X in #3.6 (b) P[ Y < ½ | X = 1] (refer to #3.3) (c) E[ Y|X = 1](refer to #3.3)
Transcribed Image Text:Determine the marginal pdf of X, fx(x). Give the conditional density of Y, given X = Xo, fy\x(y|xo). 3.6 From the marginal pdf of X, fx (x), in #3.1, give the cumulative distribution function of X, Fx (x). 3.7 Find the following: (a) P[X > 1.2] from the cdf of X in #3.6 (b) P[ Y < ½ | X = 1] (refer to #3.3) (c) E[ Y|X = 1](refer to #3.3)
3. Let X and Y be continuous random variables with joint probability density function = {3 (x + y), if 0 <x < 2, 0 < y < 1 fxx(x, y) otherwise
Transcribed Image Text:3. Let X and Y be continuous random variables with joint probability density function = {3 (x + y), if 0 <x < 2, 0 < y < 1 fxx(x, y) otherwise
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