Question 4.30. What is Var(X + Y1) + Var(X – Y2)? 50, 08 a. 20 b. 23 or 08 С. 26 d. 29
Question 4.30. What is Var(X + Y1) + Var(X – Y2)? 50, 08 a. 20 b. 23 or 08 С. 26 d. 29
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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Help with 4.30 - 4.32 please!

Transcribed Image Text:### Probability and Statistics Questions
#### Question 4.29
What is \( E(X + Y|Z = 10) \)?
- a. 40
- b. 45
- c. 50
- d. 55
#### Use the following information for the next 3 questions:
Suppose that we have three random variables \( X \), \( Y_1 \), and \( Y_2 \). \( Y_1 \) and \( Y_2 \) are from an identical distribution and independent to each other:
- \( \text{Var}(X) = 5 \)
- \( \text{Var}(Y_i) = 8 \) for \( i = 1, 2 \)
#### Question 4.30
What is \( \text{Var}(X + Y_1) + \text{Var}(X - Y_2) \)?
- a. 20
- b. 23
- c. 26
- d. 29
#### Question 4.31
If \( \text{Var}(aX) + \text{Var}(Y_1 + Y_2) = 36 \), what is \( \text{Var}(a(Y_1 + Y_2)) \)?
- a. 16
- b. 32
- c. 48
- d. 64
#### Question 4.32
If \( \text{Var}(X + Y_1 + Y_2) = 25 \), what is \( \text{Cov}(X, Y_i) \) for \( i = 1, 2 \)?
- a. 1
- b. 2
- c. 3
- d. 4
#### Question 4.33
Suppose that we have two random variables \( X \) and \( Y \). Which of the following is NOT true?
- a. If \( X \) and \( Y \) are independent, \( \text{Corr}(X, \eta) = 0 \).
- b. If \( \text{Corr}(X, \eta) = 0 \), \( X \) and \( Y \) are independent.
- c. If \( E(Y) = 0 \), \( \text{Cov}(X, \eta) = E(XY) \).
- d.
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