fx.x(1, y)= ce-r-5y if r, y20 otherwise (a) Determine the value of the normalization constant c. (b) Find the marginal probability density function fx and state the name of the distribution of X. (c) Find the conditional probability density function fYix=z- (d) Are the random variables X and Y statistically independent? Justify your answer. Consider now a different joint probability density function for X and Y, namely 12ye-e-2y if z, y 20 Īxx(1, y) = - :- %3D otherwise (e) What is the probability P(Y² > 2X > 0) ?

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter5: Inverse, Exponential, And Logarithmic Functions
Section: Chapter Questions
Problem 12DE
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Suppose that X and Y have a joint probability density function given by: 

 

( only for D) and E), ignored A),B)and C))

function given by
ce-3r-5y
if z, y 2 0
fx.x(1, y) =
%3D
otherwise
(a) Determine the value of the normalization constant c.
(b) Find the marginal probability density function fx and state the name of the
distribution of X.
(c) Find the conditional probability density function fyx=z-
(d) Are the random variables X and Y statistically independent? Justify your answer.
Consider now a different joint probability density function for X and Y, namely
Īxx(1, y) = <
J 12 ye-3-2y²
if z, y >0
otherwise
(e) What is the probability P(Y² > 2X > 0) ?
Transcribed Image Text:function given by ce-3r-5y if z, y 2 0 fx.x(1, y) = %3D otherwise (a) Determine the value of the normalization constant c. (b) Find the marginal probability density function fx and state the name of the distribution of X. (c) Find the conditional probability density function fyx=z- (d) Are the random variables X and Y statistically independent? Justify your answer. Consider now a different joint probability density function for X and Y, namely Īxx(1, y) = < J 12 ye-3-2y² if z, y >0 otherwise (e) What is the probability P(Y² > 2X > 0) ?
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