A random variable X with the range Rx = (0,1,2,3) has the following distribution k 0 1 2 3 P(X = k) 10 3 ?? 10 Find E[X], the expected value of X, and var [X], the variance of X, and check boxes next to all the answers that apply. (No partial credit! Both the mean and the variance must be correct. Note that first, you need to determine the missing value P(X = 3)). E[X] = 1.5 ○ E[X] = var[X] Ovar[X] = 37 = 10 81 100 Ovar[X] = 8.5 EX 17 10
A random variable X with the range Rx = (0,1,2,3) has the following distribution k 0 1 2 3 P(X = k) 10 3 ?? 10 Find E[X], the expected value of X, and var [X], the variance of X, and check boxes next to all the answers that apply. (No partial credit! Both the mean and the variance must be correct. Note that first, you need to determine the missing value P(X = 3)). E[X] = 1.5 ○ E[X] = var[X] Ovar[X] = 37 = 10 81 100 Ovar[X] = 8.5 EX 17 10
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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Question
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![A random variable X with the range Rx = (0,1,2,3) has the following
distribution
k
0
1
2
3
P(X = k) 10
3
??
10
Find E[X], the expected value of X, and var [X], the variance of X, and check
boxes next to all the answers that apply. (No partial credit! Both the mean and the
variance must be correct. Note that first, you need to determine the missing value
P(X = 3)).
E[X] = 1.5
○ E[X] =
var[X]
Ovar[X] =
37
=
10
81
100
Ovar[X] = 8.5
EX
17
10](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe99fe633-2e82-4dde-a878-82e2251a369a%2F672953f0-5693-48ee-a62c-56961334fc21%2Ftwvxayr_processed.jpeg&w=3840&q=75)
Transcribed Image Text:A random variable X with the range Rx = (0,1,2,3) has the following
distribution
k
0
1
2
3
P(X = k) 10
3
??
10
Find E[X], the expected value of X, and var [X], the variance of X, and check
boxes next to all the answers that apply. (No partial credit! Both the mean and the
variance must be correct. Note that first, you need to determine the missing value
P(X = 3)).
E[X] = 1.5
○ E[X] =
var[X]
Ovar[X] =
37
=
10
81
100
Ovar[X] = 8.5
EX
17
10
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