Let (X, Y) be a bivariate discrete random variable with joint probability mass function specified as: 1 p(2,0) 1 p(0, 0) 12 p(0, 1) 6' Р(1,0) 6' 5 p(2, 1) = p(1,2) 3' 12 6. For all other (x, y) pairs, the joint probability mass function p(x, y) = 0. (a) Compute the correlation between X and Y. (b) Are X and Y independent? Justify your answer mathematically. (c) Find the conditional distribution ofY when X = 1 (d) Compute the conditional variance of Y when X = 1. (e) Verify the formula E(Y) = E[E(Y|X)] for this example by computing the left hand side and the right hand side, and showing the two are equal. %3D
Let (X, Y) be a bivariate discrete random variable with joint probability mass function specified as: 1 p(2,0) 1 p(0, 0) 12 p(0, 1) 6' Р(1,0) 6' 5 p(2, 1) = p(1,2) 3' 12 6. For all other (x, y) pairs, the joint probability mass function p(x, y) = 0. (a) Compute the correlation between X and Y. (b) Are X and Y independent? Justify your answer mathematically. (c) Find the conditional distribution ofY when X = 1 (d) Compute the conditional variance of Y when X = 1. (e) Verify the formula E(Y) = E[E(Y|X)] for this example by computing the left hand side and the right hand side, and showing the two are equal. %3D
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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![Let (X, Y ) be a bivariate discrete random variable with joint probability mass function
specified as:
1
1
1
1
p(0, 0)
12'
p(0, 1)
6: P(1,0) =
6: P(1,2) =
, P(2, 0) = , p(2, 1) =
3'
12'
For all other (x, y) pairs, the joint probability mass function p(x, y) = 0.
(a) Compute the correlation between X and Y.
(b) Are X and Y independent? Justify your answer mathematically.
(c) Find the conditional distribution of Y when X = 1
(d) Compute the conditional variance of Y when X = 1.
(e) Verify the formula E(Y) = E[E(Y|X)] for this example by computing the left
hand side and the right hand side, and showing the two are equal.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F592d472c-2b34-4062-9bc5-eeed7022347e%2F7298f216-bb46-4fde-b95a-bb5258dac3b2%2F3p6idm_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Let (X, Y ) be a bivariate discrete random variable with joint probability mass function
specified as:
1
1
1
1
p(0, 0)
12'
p(0, 1)
6: P(1,0) =
6: P(1,2) =
, P(2, 0) = , p(2, 1) =
3'
12'
For all other (x, y) pairs, the joint probability mass function p(x, y) = 0.
(a) Compute the correlation between X and Y.
(b) Are X and Y independent? Justify your answer mathematically.
(c) Find the conditional distribution of Y when X = 1
(d) Compute the conditional variance of Y when X = 1.
(e) Verify the formula E(Y) = E[E(Y|X)] for this example by computing the left
hand side and the right hand side, and showing the two are equal.
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