Using the Law of Total Expectation (Partition Theorem for Expectation), or otherwise, determine E (Y the expected value of Y. 9

A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Suppose that X has density function
fx (x) =
Also suppose that the conditional density of Y given X = = x (where x > 0) is given by
2y
fy|x (y|x) = 24 for 0 <y<x (and fyx (y | x) = 0 otherwise).
x²
-2x
= 2e for x > 0 (and fx (x) = 0 otherwise).
Using the Law of Total Expectation (Partition Theorem for Expectation), or otherwise, determine E (Y)
, the expected value of Y.
Transcribed Image Text:Suppose that X has density function fx (x) = Also suppose that the conditional density of Y given X = = x (where x > 0) is given by 2y fy|x (y|x) = 24 for 0 <y<x (and fyx (y | x) = 0 otherwise). x² -2x = 2e for x > 0 (and fx (x) = 0 otherwise). Using the Law of Total Expectation (Partition Theorem for Expectation), or otherwise, determine E (Y) , the expected value of Y.
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