4X + 3; V 2. Consider the following random variables derived from Ap, which you obtained above (I'm going to call it X now to simplify notation, i.e. X = Ap). S = X + 2; Z 2X; W W + 2S. In each case, give an estimate of the mean and variance of the new random variable (these are estimates because the mean and variance obtained in the first part of the question are estimates; if those were population values, you could compute population values for the new random variables). You can just assign a name to the mean and variance of U and give your answer as a function of that variable, eg. define the mean of U as , variance of U as vu, give answers as functions of u and v₁. Note that you don't have to do any data analysis to answer this question. You can obtain your answers by reasoning, applied to the mean and variance of Ap that you obtained earlier. If you find this non-transparent or have any doubts about your answers, you can actually construct the new variables and do the computations again from scratch. = = =
4X + 3; V 2. Consider the following random variables derived from Ap, which you obtained above (I'm going to call it X now to simplify notation, i.e. X = Ap). S = X + 2; Z 2X; W W + 2S. In each case, give an estimate of the mean and variance of the new random variable (these are estimates because the mean and variance obtained in the first part of the question are estimates; if those were population values, you could compute population values for the new random variables). You can just assign a name to the mean and variance of U and give your answer as a function of that variable, eg. define the mean of U as , variance of U as vu, give answers as functions of u and v₁. Note that you don't have to do any data analysis to answer this question. You can obtain your answers by reasoning, applied to the mean and variance of Ap that you obtained earlier. If you find this non-transparent or have any doubts about your answers, you can actually construct the new variables and do the computations again from scratch. = = =
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![4X + 3; V
2. Consider the following random variables derived from Ap, which you obtained
above (I'm going to call it X now to simplify notation, i.e. X = Ap). S = X + 2;
Z = 2X; W
W + 2S. In each case, give an estimate of the
mean and variance of the new random variable (these are estimates because the
mean and variance obtained in the first part of the question are estimates; if those
were population values, you could compute population values for the new random
variables). You can just assign a name to the mean and variance of U and give your
answer as a function of that variable, eg. define the mean of U as µ, variance of
U as vụ, give answers as functions of u and vu. Note that you don't have to do any
data analysis to answer this question. You can obtain your answers by reasoning,
applied to the mean and variance of Ap that you obtained earlier.
If you find this non-transparent or have any doubts about your answers, you can
actually construct the new variables and do the computations again from scratch.
=
=
2](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff3627728-0171-4a7d-a11c-4eb5edb68d06%2F654630ff-5d8d-4977-a215-195ab802bbf6%2Fdaqe6tg_processed.png&w=3840&q=75)
Transcribed Image Text:4X + 3; V
2. Consider the following random variables derived from Ap, which you obtained
above (I'm going to call it X now to simplify notation, i.e. X = Ap). S = X + 2;
Z = 2X; W
W + 2S. In each case, give an estimate of the
mean and variance of the new random variable (these are estimates because the
mean and variance obtained in the first part of the question are estimates; if those
were population values, you could compute population values for the new random
variables). You can just assign a name to the mean and variance of U and give your
answer as a function of that variable, eg. define the mean of U as µ, variance of
U as vụ, give answers as functions of u and vu. Note that you don't have to do any
data analysis to answer this question. You can obtain your answers by reasoning,
applied to the mean and variance of Ap that you obtained earlier.
If you find this non-transparent or have any doubts about your answers, you can
actually construct the new variables and do the computations again from scratch.
=
=
2
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