(a) Var(X + Y ) = Var(X)+ Var(Y) (b) Ε(XY) - (EX) (EYΥ) (c) E(X + Y ) = EX+ EY
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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![For each of the identities in (a)-(f), choose an appropriate description from
the following three options. Briefly explain your answers.
(i) this identity holds in general (for any random variables X and Y).
|(ii) this identity does not hold in general, but it holds if X and Y are independent.
(iii) this identity may not hold even if X and Y are independent.
(a) Var(X + Y) = Var(X)+ Var(Y)
(b) E(XY) = (EX)(EY)
(c) E(X + Y) = EX+EY
(d) Var(XY) = Var(X)· Var(Y).
(e) E[(X – EX)Y] = 0 (Hint: first distribute the multiplication by Y and use the linear
property of the expectation, keeping in mind that EX is a constant.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa886a924-cb38-4340-a3cf-fc349265e315%2Fa2b1b007-28e8-452a-b37a-513f1380cf51%2F0dh6iwm_processed.png&w=3840&q=75)
Transcribed Image Text:For each of the identities in (a)-(f), choose an appropriate description from
the following three options. Briefly explain your answers.
(i) this identity holds in general (for any random variables X and Y).
|(ii) this identity does not hold in general, but it holds if X and Y are independent.
(iii) this identity may not hold even if X and Y are independent.
(a) Var(X + Y) = Var(X)+ Var(Y)
(b) E(XY) = (EX)(EY)
(c) E(X + Y) = EX+EY
(d) Var(XY) = Var(X)· Var(Y).
(e) E[(X – EX)Y] = 0 (Hint: first distribute the multiplication by Y and use the linear
property of the expectation, keeping in mind that EX is a constant.)
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