Manga Guide to Statistics
Reviewed by Harry {doc} Babad
(c)
2008
![](MangaGuidetoStats_files/image003.png)
Author: Shin Takahashi
No Starch
Press
San
Francisco, CA
http://nostarch.com/mg_statistics.htm
Released: November 28, 2008; 1st Edition
Pages: 224
Size:
9.25 x 7.0 x 0.7 inches
$19.95 List
(USD); $36.58 CND, £20.20
UK, Û23.81 by calculation.
ISBN-10: 1-59327-189-3
ISBN-13: 978-1593271893
Product and
company names and logos in this review may be registered trademarks of their
respective companies.
Audience: Statistics Beginner or wannabe.
Strengths: A comics book worth reading, with well
organized examples and lessons, easy to learn from.
Weaknesses: I was initially off put by the cutsey
graphics and the immature nature of Rui, its central character, but that
annoyance soon passed.
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Introduction
As a person
who has been both trained formally in statistics at least as used by
experimental chemists to analyze experimental data, and one who hates all thing
mathematical — this book was both a joy and a
challenge. Note this is not a book for one who wants to become a statistician,
except perhaps as a pleasant and fulfilling introduction. However the value of
this book is that it can be used, with a little practice, to test all the
meaning of some of the lists of numbers that prove pollsters or advertisers
claims, providing they post the data.
Otherwise of course the conclusions are likely to be untestable, with no
way prove the stated conclusion. Indeed one of my favorite books, several years
ago was ÒHow to Lie with StatisticsÓ. By Darrell Huff É ISBN-10: 0393310728
(available from Amazon). My favorite quote from that book, which parallels my
instructorsÕ statements, was ÒEven if you can't find a source of demonstrable
bias, allow yourself some degree of skepticism about the results, as long as
there is a possibility of bias somewhere. There always is.Ó
The Book
Itself
The
Manga Guide to Statistics capitalizes on the international manga phenomenon.
This first is in a series of EduManga titles from No Starch Press (co-published
with Ohmsha, Ltd. of Japan). The Manga Guide to Statistics uses manga to
introduce the reader to the world of statistics. Rather than learning from a
dry textbook, readers follow the animated adventures of Rui, a 17-year-old
female Japanese student, and her teacher, Mamoru Yamamoto. As Rui interacts
with a colorful cast of characters, the teacher leads her and the reader though
some of the basic and most useful tools of statistics, those associated with
challenging data to check whether data makes sense as claimed by its creator.
IÕve provided a, also low-resolution sample below:
The book consists of seven
chapters, each containing a cartoon, text to supplement the cartoon, an
exercise or two to test your knowledge and of course an answer section, and
chapter overview summary. Readers learn about working with numerical and
categorical data; probability; relationships between two variables; tests of
independence and even how to perform calculations in Microsoft Excel.
The chapters
are logically arranged and the subject matter is explained so that even a
bright adolescent can follow lessons.
- Determining Data Types
- Getting the Big Picture:
Understanding Numerical Data
- Getting the Big Picture:
Understanding Categorical Data
- Standard Score and Deviation Score
- Let's Obtain the Probability Density
Function
- Let's Look at the Relationship
Between Two Variables Do they make sense?
- Let's Explore the Hypothesis Tests [I
got lost.]
Once Mr. Takahashi
gets to the statistics tools, he uses a "set of
example-driven" approach. Each lesson (chapter) starts with a well-chosen,
realistic example of why you'd want to figure something out from data
tabulations being presented to you. Although aimed at the interest of Rui, the
examples easily translate into areas the readers might be interested in, such
as sports, politics or even product claims. No, this will not allow you to
figure out conflicting drug benefits claims, but it will certainly work on
gaining a better understanding of the skills of the members of your Saturday
night poker or bridge club. Each
Òcase studyÓ is followed by a fully worked example. The initial material is
followed by a more detailed explanation of what the statistical analysis means
and how Rui might want to use it.
Overall, the
author provided the reader with answers to the traditional pedantic: What tool? Why use it? How to use it?
And at times, where the tool is useful. This was helpful in evolving the
statistics exercises throughout the book.
Kudos and
an Occasional Ouch
Scope — This book is an excellent
introductory book on statistics. The material is well organized around the
fundamental, basic concepts you would expect to find in a beginners book that
serves as an introduction to the field of statistics. Th examples are easy to
visualize and manipulating the numbers is made easy by its author, Shin
Takahashi. This EduManga book is a translation from a bestselling series in
Japan, co-published with Ohmsha, Ltd. of Tokyo, Japan. It follows the
traditional Manga graphics style, which I found attractive, but that may
distract some readers.
Balance — The book is a well-paced and
illustrated "introductory study of use of statistics". I can
personally attest that I, as do others, perceive this as hard to learn or even
impenetrable. The author made the
study, dare I say it, fun. Studying statistics will never be easy, but it might
as well be enjoyable.
The
Depiction of Rui
—I found the story line both funny and interesting. I was a little put
off with the juvenile depiction of Rui, who after all is a 17 year-old young
lady, not a pre-pubescent adolescent. Perhaps IÕve been around American
teenagers too long (grandkids and their friends). The at times silly depiction
of Rui, made me more than a bit uncomfortable. It may be because IÕm a
septuagenarian (72), all that says of about cultural memes and outlooks. I
suspect this will be a put-off for most American teenagers, but donÕt know how
to fix it without losing the manga element.
CramerÕs
Coefficient — This
material lost me completely. I asked myself what would be lost had I skipped it
and my answer was very little.
Factoring
Fractions — A
well-thought-out piece of help for those a bit slow at math.
Ties to
Excel — A good
thought, since most HS student have access to computers and MS Office is a
generally adopted standard. I hate number crunching; especially when doing the
math three times that gives three different answers. Math classes well into
college have never taken holdÉ it must be my brain conformation.
More
Everyday Examples Needed
— Although the author describes this well, I would have preferred
additional examples, not related to Rui and High School, to exemplify the use
of the different methods. The single example on Page 149 is the short fall that
IÕm concerned about. I missed having more examples of applicable areas (scenarios),
not their analysis.
Possible
Errors or Omissions
—
¤ The material on Page 152 about Chi
squared appear twice in the same words, therefore makes no sense. It this
wording indeed correct?
¤ The material on pages 164 and 176 needs
to be cross-referenced.
Conclusion
The Manga
Guide to Statistics will teach you everything you need to know about this
essential discipline, while entertaining you at the same time. Reluctant
statistics students of all ages will enjoy learning statistics in this unique,
easy-to-read guide, which uses real-world examples like teen magazine quizzes,
bowling game results, dating preferences and ramen noodle prices. I fully agree
with the review in ÒGood Math, Bad MathÓ by Mark C. Chu-Carroll, that
"This is really what a good math text should be like. Unlike the majority
of books on subjects like statistics, it doesn't just present the material as a
dry series of pointless-seeming formulas. It presents statistics as something
fun, and something enlightening. It shows you why you should care about this
material, and how it's useful even to people in non-mathematical fields." http://scienceblogs.com/goodmath/2008/12/book_review_the_manga_guide_to.php>
Recommendation
If you are
one of the intended readers, add it to your must-read collection. If you are
someone who needs to manage conducting and understanding data analysis for
research or business, but who does not necessarily need to actually design and
conduct data analysis, the book is aimed at you. If you are interested in getting an introduction of what the
world of statistics is like, you may enjoy the book because it a light hearted,
but factual treatment of a subject youÕve likely shied away from.
Buy it. Most
of you will like it, and with a little patience, you too can become more
comfortable with the concepts of statistics. You might even want to try
crunching the numbers as I did. The book is no substitute for formal statistics
training, but having gone through it, you may be more ready to accept more
formal (dry) training.
PS:
I would
love to see a book associated with probability, another subject both not
understood or misused by most of us.