b RRRR
Solutions Manual For An Introduction to Mathematical
b b b b b b
Statistics and Its Applications 6th Edition By Richard Larsen,
b b b b b b b b b
Morris Marx (All Chapters, 100% Original Verified, A+ Grade)
b b b b b b b b b
Prose1 Stuvia b
, Solutions to the Questions in b b b b
An Introduction to Mathematical Statistics
b b b b
and Its Applications b b b
by Richard J. Larsen and Morris L. Marx
b b b b b b b
John Weatherwax b
Text copyright © 2018 John L. Weatherwax b b b b b b
All Rights Reserved b b b
Please Do Not Redistribute Without Permission from the Author To
b b b b b b b b b
my family. b b
Introduction
This is a solution manual all of the questions in the excellent statistical textbook:
b b b b b b b b b b b b b
An Introduction to Mathematical Statistics and Its Applications by
b b b b b b b b
Richard Larsen and Morris Marx b b b b b
This solution manual was prepared form the fifth edition of the textbook. I have
b b b b b b b b b b b b b
looked at other editions of the book and have had a hard time finding any significant
b b b b b b b b b b b b b b b b
differences between the editions.
b b b b
I’ve tried to provide much more detail than is normally found in a typical solutions
b b b b b b b b b b b b b b
manual. Thus rather than just give the solution I try to explain in great detail how I
b b b b b b b b b b b b b b b b b
arrived a the solution. This will further reinforce the main ideas from class and
b b b b b b b b b b b b b b
bbetter teach the material. The manual stands at over 400 pages.
b b b b b b b b b b
One of the benefits of this manual is that I heavily use the Rstatistical language
b b b b b b b b b b b b b b b
to perform any of the needed numerical computations (rather than do them ”by-
b b b b b b b b b b b b b
hand”). Thus if you use this manual you will be learning some Rprogramming at the
b b b b b b b b b b b b b b b b
same time as you learn statistics. The Rprogramming language is one of the most
b b b b b b b b b b b b b b b
desired skills for anyone who hopes to use data/statistics in their future
b b b b b b b b b b b b
,career. All the Rcode can be found at the following location:
b b b b b b b b b b b
http://waxworksmath.com/Authors/G_M/Larsen/larsen.html
As a final comment, I’ve worked hard to make these notes as good as I can, but I have
b b b b b b b b b b b b b b b b b b
no illusions that they are perfect. If you feel that that there is a better way to
b b b b b b b b b b b b b b b b b
accomplish or explain an exercise or derivation presented in these notes; or that one
b b b b b b b b b b b b b b
or more of the explanations is unclear, incomplete, or misleading, please tell me. If
b b b b b b b b b b b b b b
you find an error of any kind – technical, grammatical, typographical, whatever –
b b b b b b b b b b b b b
please tell me that, too. I’ll gladly add to the acknowledgments in later printings
b b b b b b b b b b b b b b
the name of the first person to bring each problem to my attention.
b b b b b b b b b b b b b
Chapter 2 (Probability) b b
In working some of these questions I have chosen to use Ror pythonto
b b b b b b b b b b b b b b
explicitly enumerate the spaces requested rather than to derive them by hand. While
b b b b b b b b b b b b b
many of these questions could no doubt be done “by hand” it is very easy to change
b b b b b b b b b b b b b b b b b
a problem statement in such a way that will make that impossible.
b b b b b b b b b b b b
Using a computer is a more robust (with respect to problem specification) way to
b b b b b b b b b b b b b
work problems like these and is a helpful skill to have.
b b b b b b b b b b b
Question 2.2.1 b
The full sample space in this case would be
b b b b b b b b
Event A would be the set b b b b b
Event B would be the set b b b b b
Question 2.2.2 b
We can use Rto enumerate the possible outcomes when we toss three die. We have
b b b b b b b b b b b b b b b
, D = 1:6
b b
outcomes = expand.grid(D, D, D) b b b b
colnames(outcomes) = c(’R’, ’B’, ’G’) mask
b b b b b b
= apply(outcomes, 1, sum) == 5
b b b b b b
print(outcomes[mask, ])
b b
Running the above we get b b b b
> print(outcomes[mask, ]) b
R B G
3 3 1 1
8 2 2 1
13 1 3 1
38 2 1 2
43 1 2 2
73 1 1 3
for the members of the event A .
b b b b b b b
Question 2.2.3 b
We can generate this sample space with the following pythoncode
b b b b b b b b b b
from itertools import combinations
b b b
for it in combinations(range(1, 7), 3): if
b b b b b b
sorted(it)[1]==3: print it
b b b
Running the above pythoncode gives b b b b b
(1, 3, 4)
(1, 3, 5)
(1, 3, 6)
(2, 3, 4)
(2, 3, 5)
(2, 3, 6)
for the elements of the sample space.
b b b b b b
Question 2.2.4 b
We can pick the suit of the first card in four ways. We can pick the number on the
b b b b b b b b b b b b b b b b b b
first card to be one of the numbers 1, 2, 3, 4, 5, 6, 7. For all of these choices
b b b b b b b b b b b b b b b b b b b b
(excluding 4) the number on the other card required that the two cards sum to 8
b b b b b b b b b b b b b b b b
Solutions Manual For An Introduction to Mathematical
b b b b b b
Statistics and Its Applications 6th Edition By Richard Larsen,
b b b b b b b b b
Morris Marx (All Chapters, 100% Original Verified, A+ Grade)
b b b b b b b b b
Prose1 Stuvia b
, Solutions to the Questions in b b b b
An Introduction to Mathematical Statistics
b b b b
and Its Applications b b b
by Richard J. Larsen and Morris L. Marx
b b b b b b b
John Weatherwax b
Text copyright © 2018 John L. Weatherwax b b b b b b
All Rights Reserved b b b
Please Do Not Redistribute Without Permission from the Author To
b b b b b b b b b
my family. b b
Introduction
This is a solution manual all of the questions in the excellent statistical textbook:
b b b b b b b b b b b b b
An Introduction to Mathematical Statistics and Its Applications by
b b b b b b b b
Richard Larsen and Morris Marx b b b b b
This solution manual was prepared form the fifth edition of the textbook. I have
b b b b b b b b b b b b b
looked at other editions of the book and have had a hard time finding any significant
b b b b b b b b b b b b b b b b
differences between the editions.
b b b b
I’ve tried to provide much more detail than is normally found in a typical solutions
b b b b b b b b b b b b b b
manual. Thus rather than just give the solution I try to explain in great detail how I
b b b b b b b b b b b b b b b b b
arrived a the solution. This will further reinforce the main ideas from class and
b b b b b b b b b b b b b b
bbetter teach the material. The manual stands at over 400 pages.
b b b b b b b b b b
One of the benefits of this manual is that I heavily use the Rstatistical language
b b b b b b b b b b b b b b b
to perform any of the needed numerical computations (rather than do them ”by-
b b b b b b b b b b b b b
hand”). Thus if you use this manual you will be learning some Rprogramming at the
b b b b b b b b b b b b b b b b
same time as you learn statistics. The Rprogramming language is one of the most
b b b b b b b b b b b b b b b
desired skills for anyone who hopes to use data/statistics in their future
b b b b b b b b b b b b
,career. All the Rcode can be found at the following location:
b b b b b b b b b b b
http://waxworksmath.com/Authors/G_M/Larsen/larsen.html
As a final comment, I’ve worked hard to make these notes as good as I can, but I have
b b b b b b b b b b b b b b b b b b
no illusions that they are perfect. If you feel that that there is a better way to
b b b b b b b b b b b b b b b b b
accomplish or explain an exercise or derivation presented in these notes; or that one
b b b b b b b b b b b b b b
or more of the explanations is unclear, incomplete, or misleading, please tell me. If
b b b b b b b b b b b b b b
you find an error of any kind – technical, grammatical, typographical, whatever –
b b b b b b b b b b b b b
please tell me that, too. I’ll gladly add to the acknowledgments in later printings
b b b b b b b b b b b b b b
the name of the first person to bring each problem to my attention.
b b b b b b b b b b b b b
Chapter 2 (Probability) b b
In working some of these questions I have chosen to use Ror pythonto
b b b b b b b b b b b b b b
explicitly enumerate the spaces requested rather than to derive them by hand. While
b b b b b b b b b b b b b
many of these questions could no doubt be done “by hand” it is very easy to change
b b b b b b b b b b b b b b b b b
a problem statement in such a way that will make that impossible.
b b b b b b b b b b b b
Using a computer is a more robust (with respect to problem specification) way to
b b b b b b b b b b b b b
work problems like these and is a helpful skill to have.
b b b b b b b b b b b
Question 2.2.1 b
The full sample space in this case would be
b b b b b b b b
Event A would be the set b b b b b
Event B would be the set b b b b b
Question 2.2.2 b
We can use Rto enumerate the possible outcomes when we toss three die. We have
b b b b b b b b b b b b b b b
, D = 1:6
b b
outcomes = expand.grid(D, D, D) b b b b
colnames(outcomes) = c(’R’, ’B’, ’G’) mask
b b b b b b
= apply(outcomes, 1, sum) == 5
b b b b b b
print(outcomes[mask, ])
b b
Running the above we get b b b b
> print(outcomes[mask, ]) b
R B G
3 3 1 1
8 2 2 1
13 1 3 1
38 2 1 2
43 1 2 2
73 1 1 3
for the members of the event A .
b b b b b b b
Question 2.2.3 b
We can generate this sample space with the following pythoncode
b b b b b b b b b b
from itertools import combinations
b b b
for it in combinations(range(1, 7), 3): if
b b b b b b
sorted(it)[1]==3: print it
b b b
Running the above pythoncode gives b b b b b
(1, 3, 4)
(1, 3, 5)
(1, 3, 6)
(2, 3, 4)
(2, 3, 5)
(2, 3, 6)
for the elements of the sample space.
b b b b b b
Question 2.2.4 b
We can pick the suit of the first card in four ways. We can pick the number on the
b b b b b b b b b b b b b b b b b b
first card to be one of the numbers 1, 2, 3, 4, 5, 6, 7. For all of these choices
b b b b b b b b b b b b b b b b b b b b
(excluding 4) the number on the other card required that the two cards sum to 8
b b b b b b b b b b b b b b b b