Guia Mangá de Estatística

マンガでわかる [Manga de Wakaru]

by Shin Takahashi

"Acredito que seja muito mais provável que crianças leiam este livro e se interessem por estatística do que se tiverem de ler um livro teórico tradicional." – Geek Book “Uma ótima pedida, tanto em forma quanto em conteúdo. Recomendado.” – Otaku USA Magazine “A arte é charmosa e o humor, cativante. Uma lição divertida e agradável sobre o que muitos consideram um assunto pouco empolgante.” – School Library Journal “Esta é a forma que um bom livro de matemática deve ter. Diferentemente da maioria dos livros que tratam de assuntos como estatística, esta obra não apresenta o assunto como uma série de fórmulas aparentemente sem propósito. Pelo contrário, apresenta a estatística como algo divertido e esclarecedor.” – Good Math, Bad Math “A melhor forma de apresentar um assunto pelo qual crianças normalmente não se interessariam é com uma narrativa divertida e uma boa história em quadrinhos.” – Make Se você estiver preocupado com Estatística, ou só precisa de ajuda para analisar seus dados, o Guia Mangá de Estatística vai ajudá-lo a superar esse sentimento de "não ser bom em matemática". Este guia em quadrinhos vai colocá-lo no caminho certo para aprender Estatística em pouco tempo. E como nenhum livro de Matemática é completo sem eles, este guia contém também exercícios (e respostas) para que você possa praticar o que aprende. Acompanhe o sempre paciente professor Yamamoto ensinando Luy a: . Calcular a média, a mediana e o desvio-padrão de pontuações de boliche . Representar os preços de diversos tipos de lámen em um histograma . Determinar a probabilidade de tirar a nota máxima em um teste de matemática . Calcular o coeficiente de Cramer para determinar como meninos e meninas preferem ser convidados para sair . Aprender como o valor-padrão é usado para ajustar as notas de provas quando os professores "qualificam utilizando uma curva de desempenho" Estes e outros exemplos da vida real facilitam o seu aprendizado daquilo que a maioria das pessoas tem dificuldade [...]

Genres: Manga, Mathematics, Nonfiction, Science, Reference, Graphic Novels, Comics

224 pages, Paperback

First published July 1, 2004

About the author

高橋信

Reviews

[Lynn · Rating 4 out of 5]

This is the type of book that you will hate upon reading the first time, as everything is compacted more than sardines are. The second re-read will make information flow smoother down the windpipe, and you may even catch small bits of info (in fine print) you missed out the first time. Nevertheless, this book is not for statistics greenhorns, or people who know nothing about stats. They will still end up knowing nothing. Even for people steeped in stats, they may not even understand statistics. The beauty of statistics is that you need not understand it in order to use it.

This book attempts to explain statistics in a pattern-like way. You need to refer backwards to see how each chapter builds up on each other, and how the formulas are sometimes like patterns.

The Manga did make it more lighthearted, but then it was also distracting. Still, a plus, because written manga-style makes a hard subject swallow much easier, no matter how you look at it.

I have a inkling on how to benefit most from this book: Read it many many times, no matter what. But did I take my own advice? Well, I tried to, until the due date beckoned - I ended up paying a fine of 90c so I could re-read the book for a few more days. Don't be deceived that it is displayed as a comic - the compactness is even greater because there are fewer lines - pretty much concentrated statistics.

[Anusha Narasimhan · Rating 4 out of 5]

Used this book to brush up on the basics for my advanced statistics class. I wanted something light and fun to read along with my lectures and this was perfect. If you're a beginner in statistics, you may have to read the book at least twice to understand the concepts fully and catch the finer prints you missed the first time.

[Eustacia Tan · Rating 5 out of 5]

I bought this book mainly because I'm terrible at statistics. But after reading this book, and some hard work and practice, I'm happy to say my grades are very much improved (to give the actual figures would be vulgar).

But I can say, that this book is good for the beginner. The story-line makes it accessible, and shows how it can be applied in real-life, which might help learners who are not good with "theoretical" subjects.

What is taught in the manga itself is very basic stats (not many distributions are introduced), but the explanation after is good, and I feel, enough to help the beginner.

While this book is, quite naturally, too easy for the 'advanced' student, it's good as a supplementary for those new and confused to the world of statistics.

[Khari · Rating 1 out of 5]

Well, I'm glad that's over.

That had to be one of the single most useless books I've ever read.

If you know nothing about statistics, this is not the book for you. Well, it's fine if you are not a curious person. It does fairly clearly tell you what to do, it just doesn't tell you why you are doing it, or when to do it, or even really how to do it. After reading this book, you will be just fine at solving problems that stats books give you, but if you have a bunch of raw real-life data in front of you, you won't know what you are supposed to do with it. At least I don't.

I don't understand why I don't. I should be a fairly educated person in this subject by now. I have finished the entire Khan Academy course on statistics. I have taken a college course in statistics, I got an A+, I took a graduate level course in statistics and got an A+, I have now read this book. I still don't know when to do what.

I know how to do a bunch of things, but I don't know when to use them. If I have a bunch of data, and I do, I don't know what to do with it beyond descriptive statistics. This is rather frustrating to me. I want to know why we do procedure a in situation x and not procedure b. I want to know why we do any of these procedures, and I want to know what useful information each procedure tells me. And none of these books or courses tell me that! It's singularly annoying. I'm seriously considering going and getting a degree in this subject just so that I can finally understand it.

So far, the best has been Khan Academy, it was free and it hammered into my skull what a standard deviation means and why that's important, none of the other courses I took did that. If only Khan Academy went into hypothesis testing, I'm sure they would do a better job than the other books I've read.

I should suggest it to them. Khan! Please save me from my ignorance, I can't abide it!

This book was particularly irritating because it was translated and the translator did not handle tone well at all. It came off as pompous and belittling and super old-fashioned. It's incredibly hard to do translation, I completely understand that, which is why I always have a native speaker check anything that I write in Japanese that is going to perform some official function. I don't do that here because I'm a learner, and this is my method of practicing, if there are grammar mistakes or a strange tone, that doesn't bother me, I'm learning. But if I was ever asked to compile a book of essays you can bet your sweet bippy that I would take it to a native speaker and have them check over it and take their advice when they say 'hey, this sounds strange, maybe we should change it'. I don't think they did that for this book. They checked it for grammar and left it at that. Why doesn't anyone care about tone anymore?

It was also frustrating because it talked all about a chi-square distribution with 2 degrees of freedom and never explained what degrees of freedom meant! How galling. I already know what degrees of freedom means, but it's pretty fuzzy, so I would have appreciated an explanation, and I didn't get one.

The only good thing about this book was that at least the author came right out and said things like 'there's no reason we do this, it's just what everyone accepts' or 'there is no set actual limit, everyone just has informal limits'. At least I know it's all an edifice of thought based on a priori assumptions now. Well, that and the appendix on how to do some of this stuff in excel was useful.

In short, don't waste your time or money. Go take Khan Academy's highschool stats course, you'll come away understanding more and it will cost you less.

[Michael Larsen · Rating 4 out of 5]

For those of us who do software testing for a living, we know that we have a number of artifacts that come from our testing. One of those classes of artifacts is data. Tons and tons of data. How do we make sense of it all? What is worth looking at? Why is it worth looking at? What decisions can we make if we compile, analyze and distill the data we receive? More to the point, how do we analyze the data so that we can distill it? That’s where Statistics comes in handy.


I’ll be blunt. I took one statistics class when I was in college. I hated it. In fact, I never finished it. Please understand when I say “I have an aversion to statistics as something I have to actually do”, I am not kidding. as a software tester, that puts me in a bit of a bind. If I can’t make some sense of the data I receive, I can’t do as effective a job. at best, I need to farm that work out to someone else on my team who can do the statistical analysis, meaning I need to get their take and explanation to make decisions. that causes delays. Overall, it would be better to just suck it up and learn a bit about statistics. It’s a core piece of domain knowledge any good software tester should possess, if not immediately, then at some point in their career.


There are lots of ways to learn about Statistics, and frankly, most of them are a bit painful. College courses, text books, online videos, etc. can help, but they are often slow, or assume that you have some background in the ideas already. What to do when you want to get the gist of the idea before you tackle the hairier details? that’s where “The Manga Guide to Statistics” comes in handy.


A caveat: this should absolutely not be your only guide to learning statistics. If that’s what you are looking for, then this book will not deliver on that promise. It is, however a good primer to get you started, and help you look at statistics in a way that’s fun and engaging, especially if Manga tropes appeal to you.


To set the stage, or protagonist, Rui, has a chat with the dreamy co-worker of her father (Mr. Igarashi) about understanding statistics. As Rui expresses interest to her dad about learning Statistics, he agrees to get her help. Rui creates a fantasy of being tutored by Mr. Igarashi, only to have her hopes dashed when an employee of her father, Mamoru Yamamoto (read, drawn to not be dreamy), comes to teach her about statistics. Hilarity ensues. There, that’s the Manga trope, and yes, “kawaii” abounds.


If you are familiar with Manga, you know I’ve already spoken volumes about what to expect ;). For those not familiar with Manga, the treatment of the topics are generally amusing, usually at the expense of dignity of either our protagonist or our long suffering tutor, but the light hearted humor is meant to help us relate to the material better. In between the story line, a number of key statistical analysis ideas and concepts are discussed, in a way that makes them accessible and quite a bit less scary than what normally appears in text books. Also, as in the other "Manga Guide To" books, the material is presented in a way that covers a lot of ground. It’s made accessible, but it’s not “watered down” or made to be trivial. The examples actually require the reader to understand some underlying mathematics concepts. If you’ve gotten through at least Intermediate Algebra, most of the math will be easy to follow.


Chapter One focuses on understanding data types, and how we can more readily put terms like Categorical (Qualitative) Data and Numerical (Quantitative) data into aspects that more easy to understand (using a High School Slice-of-Life Manga Drama as the basis for the comparisons). By looking at examples like reader questionnaires, we get to the idea of what these data types are (categorical Data cannot be directly measured, while Numerical Data can be). It also shows how categorical data can be given a point value and treated as numerical data.


Chapter Two gets more into numerical data and discusses some key statistics concepts, such as looking at Frequency Distributions and Histograms (conveniently described by looking for the the best ramen shop in the city, by varying definitions of “best”, and by comparing a team’s bowling scores). By looking at data points and other criteria, and examining how that criteria can be condensed into a table of values, Rui and Maoru show us how we can calculate Mean(or average), the Median (actual mid point of samples) and the standard deviation (the “fudge factor” of what’s been collected).


Chapter Three goes into categorical data. By its nature, categorical data, or qualitative data, cannot be boiled down to a number as is, but there are ways that certain aspects of qualitative data can be categorized and that categorization can be made into quantitative (numeric) data and calculated. Using a cross tabulation, some numerical analysis can be performed, and therefore qualitative data can be measured, albeit imprecisely.


Chapter Four goes into the ideas of Standard Score and Deviation Score, or how to look at a specific data point and see how it relates to the rest of your data, or how to examine data points in a variety of ranges or with different unites of measurement.


Chapter Five talks about Probability, and the ways in which we can predict an outcome based on the data on hand (more correctly, make an educated guess as to the outcome, which is what Probability is meant to do).Data can be plotted on a graph, and that graph can be converted into a curve with enough data points. That curve (standard distribution) can be moved based on the mean and standard deviation. Using a number of different models (Normal distribution, Standard normal distribution, Chi-square distribution, t distribution and F distribution) we can make the curve “move”. By taking into account the way that the curve moves, we can calculate a ratio, or probability, which in turn can allow us to make a variety of predictions.


Chapter Six looks at comparing the relationship, or correlation, between two variables. By charting variable values on a scatter plot, we can eyeball the values and see if we have a positive or negative correlation, or if there is little to no correlation. If we sense there is a correlation, we can use a variety of indexes (spelled out here as Correlation Coefficient for numerical-numerical data, Correlation Ratio for numeric-categorical data and Cramer’s Coefficient for categorical-categorical data) to determine the overall strength or weakness of that correlation. This chapter also points out that these indexes are “fuzzy”, but they are better than nothing.


Chapter Seven examines Hypothesis tests, which are used to help clarify, or understand, if a hypothesis made by examining sample data is correct. We can test for independence of variables, if our tests are looking at variables in critical regions, and gives us examples as to how to perform a statistical analysis of those tests, and a variety of tests to see if variables are independent, homogeneous, and the degree in which they re either, both, or neither. Lather, rinse, repeat.


The book closes with a Appendix that describes how to use Excel and set up the examples explained in the book, and how to get to the functions and create the formulas necessary to do the measurements described in the previous chapters. This is a wonderful addition, and it gives even neophytes to statistics ways to play with the data and see how they can analyze the data, their results, and practice the hypothesis tests or determine probability of future events/actions.


Bottom Line:


Statistics can be fun, if you plot the story right. If following the antics of Rui and Mamoru sounds like a good time to you, and if gaining a fundamental understanding of some key statistics concepts is your end goal, then this is a nice format in which to learn those fundamental ideas. Note, I said “fundamental ideas”. Do not think that this would be an appropriate guide to say “OK, great, now I know all the statistics I need to know”. Granted, you may learn enough about statistics to be useful, and it may give you additional insights, but this is not an in depth study. Having said all that, for those who want to get into the nitty-gritty stuff, the Appendix about setting up tables and examples using statistical functions and formulas is worth the purchase price alone.


On the Manga story front… does our intrepid heroin Rui master the art of Statistics? Will her unrequited love for Mr. Igarashi remain as such? Will Mamoru be able to replace the spot in Rui’s heart where she hold an affection for Mr. Igarashi? Even if he does, is such a relationship just a little bit creepy? Ahh yes, all of this, and more shall be answered. For those who read manga, well, you probably already know the answers to all of those questions... but it’s still a fun read. For those curious as to whether or not a Manga can teach you a thing or three about statistics, the answer is “yes”, but you’ll need to look elsewhere to build on what’s covered here. As to my target market (i.e. my fellow software testers), if statistics is not your strong suit, this makes for a very practical introduction, and plenty of takeaways to make you just a bit more dangerous at work, and I mean that in the best possible way.

[Chadi Raheb · Rating 4 out of 5]

A fun way to quickly review some basic stats.

[Mimi · Rating 4 out of 5]

This was a very friendly lesson into statistics! I read it to get me into the subject since I'm taking it next year, and although there were some parts (especially near the end), where I got a bit lost, Yamamoto-san generally kept me on the same page throughout the entire book. I loved the friendly atmosphere and that fact that Rui seemed not to understand the parts that I did not understand-- it relieved me and kept me turning the pages (though I'll admit that I was also curious to see what Yamamoto would look like without his glasses, because I figured the author would make him take them off at the end anyway). This has definitely motivated me to dive into more formal, in-depth Statistics books to prepare myself for school.

[Isaac · Rating 3 out of 5]

Disclaimers:
- It is my first book on Manga Guide series.
- I already knew a bit of statistics (I took a basic course back in my university days doing a Computer Science degree, and also subjects from the same dpt. like Data Mining, etc.).

The book was entertaining. Nevertheless, it seemed quite basic and does not cover the material deeply enough. E.g. it explains Normal Distribution and Standard Normal Distribution. Then it mentions T distribution but it doesn't define it or compare it with the other ones. The same applies for F distribution.

I think it may be a good first time introduction (can't really tell because it's not my case), but not very effective as a refresher/deepening on who already studied the basics (and beyond).

[Jodi · Rating 4 out of 5]

Saw this at the library and thought it would be perfect for my boy. Decided to take a look at it first to ensure that there was minimal scantily clad girls as can sometimes be found in manga. The story was hysterical, but the math totally lost me about 2/3 of the way through. Fun way to teach a tough subject and entirely family friendly in tone.

The boy did enjoy it, he read it in 2 days. He has already requested I pick up the guides to physics, microbiology and electricity as well.

[Nathan Albright · Rating 4 out of 5]

This book is surprisingly awkward to read.  To be sure, this book has plenty of funny material in it.  Unfortunately, the framing of this material is more than a little bit uncomfortable, as the heroine is a lovesick teenager who convinces her father to have one of his coworkers tutor her in statistics so that she can seduce a handsome executive at his company and ends up being disappointed initially that she is being taught by a nerdy but surprisingly eccentric (or unsurprisingly eccentric if you happen to know a lot of nerdy people) quant from her father's company who happens to be interested in a lot of the same things that she is and interested in her as well.  Even though she is a high school student and he is at least in his 20's or 30's (the book does not explain exactly how old he is, but he is an adult and almost certainly a college graduate and he does not appear to be new on the job either, so he's at least a few years older than she is), this book views the budding romance between the two characters as unproblematic, and not the way it would likely appear in real life.

This book is about 200 pages long (the usual for this series, at least from what I have seen so far), and is divided into seven chapters.  After a preface and a prologue that explores statistics with heart-pounding excitement, the book begins with a determination of data types (1).  After this there is an exploration of how to understand numerical data including distribution tables, measures of central tendency, and standard deviation (2).  After this there is a brief discussion of categorical data and cross tabulations (3), which are vital in understanding political polls and their biases (not discussed in the book, notably).  This leads to a discussion of standard score and deviation score (4) as well as how one obtains the probability based on normal and chi-square distributions of data (5).  After this the book explores the relationship between two variables (6) for correlations as well as hypothesis tests that either reject or fail to reject the null hypothesis (7).  The book then closes with an appendix that discusses how to calculate statistics using excel, something many people are proficient at or at least interested in exploring.

It seems unlikely in real life that a business executive would invite a single and nerdy person to spend a lot of time tutoring a flirtatious teenage girl and spending a lot of time alone together.  This sort of action would either be exposing one's teenage girl to a lot of flirtation (or worse) from an older man, which most parents are rather leery about, or would be exposing an employee in their company to all kinds of compromising positions that naturally result from being in a situation where he-said/she-said situations can develop.  This book even shows such a compromising position happening at the very end of the story, leaving a cliffhanger as to what will happen afterwards, but in no way suggesting that what happened was at all inappropriate.  There are definitely occasions, and this is one, where manga provides situations that are rather dangerous as being entirely okay, and leading readers down very dangerous paths of behavior if they are unaware of the risks and dangers that they are running into regardless of which character in the book they happen to more closely resemble.  This book is one where not all of the lessons included are worth following, and some may be quite harrowing for the reader if they are imitated.

[Tim · Rating 4 out of 5]

Statistics has never been my forte, which is kind of embarrassing for someone whose career is in the field of data. It doesn't really help that I don't really need statistics in my day-to-day work, but it's hard to deny that every now and then situations arise where having a statistical toolbox would be very handy. My previous exposure to the subject is limited to one college statistics course which I took more years ago than I care to publicly admit, so, to extend the toolbox metaphor, the only tools my toolbox contains are a rusted-out hammer with a duck-taped handle, and a 9 mm caliper hex bit. But anyway, committing myself to trudging through a statistics book, even an entry-level one, was a daunting prospect which kept getting postponed year after year... after year.

The Manga Guide to Statistics came recommended by a friend, who promised there is more to this book than meets the eye. That was kind of reassuring, since the first (well, the only) thing that met my eye was a kitschy parody of mathematical sciences, rather than a valid learning tool. Having now read the book, however, I am happy to report that my friend was correct.

Will you know everything you need to know about statistics after perusing this tome? Absolutely not. You won't even learn that much, as a matter of fact. But if, like me, you were searching for an accessible entry (or re-entry) point to the field, this one will work nicely. While the book only covers the absolute very basics, it still manages to go sufficiently deep to serve as a springboard for further studies. Even if you don't understand everything in the text (which is doubtful, since everything is served to you pre-chewed), you'll at least familiarize (or, in my case, re-familiarize) yourself with the terminology and the general structure of the subject. Whichever book on statistics you are planning to read next, I'm confident that having read this one first will make understanding things a little easier.

And how's the actual manga, you might ask? That, unfortunately, is not something I can help you with. Having been brought up in an environment where comic books (manga or otherwise) were neither accessible nor appreciated, and having thus retained a kind of a snotty attitude towards the genre in general, I am probably one of the least qualified people to judge the quality of that aspect. I found the story (which, believe it or not, is a love story) rather trite and predictable, but since its only purpose is to serve as a distraction to make the content less heavy, it's not that big of a deal. You didn't pick up a guide to statistics because you wanted to enjoy manga, did you?

[Rodrigo García Carmona · Rating 5 out of 5]

Primera sorpresa: que sea posible enseñar estadística, un concepto tan matemático, mediante un manga. Segunda sorpresa: el nivel relativamente tan avanzado al que llega el libro (p-valores y tests de significancia) para el tiempo que se tarda en leerlo (dos tardes).

Reflexionando sobre esto, uno se da cuenta de que se debe a dos hechos. En primer lugar, que el libro se centra más en cómo usar la estadística que en explicar de dónde viene cada una de las fórmulas, distribuciones o coeficientes, o en entenderla de forma profunda. En segundo lugar, que la forma visual tan japonesa de estructurar conceptos de forma compacta da lugar a un libro muy conciso. Tan conciso que, para entenderlo realmente, es necesario releerlo (¿no es así en todos los libros de texto?). Aunque en ningún caso debe entenderse este comentario como una crítica, pues el libro es así por diseño; no se trata solo de un manga (que también), sino de una guía visual de cómo usar la estadística.

Si alguien necesita saber más, tiene libros más avanzados, pero para hacer un uso rudimentario y encima aprender de forma divertida, este libro es insuperable.

Además, la (leve) historia más gracia que la de la otra manga guide que he leído, la de bases de datos.

Así que es perfecto

[Francisco Velasquez · Rating 3 out of 5]

This book accomplishes exactly what it sets out to do. It's a decent introduction to statistics attached to a fun romance story. I do wish the statistics were a bit more essential to plot, as I feel there is a more clever way to teach statistics to the reader than just having the main character learn statistics from a tutor. Still, I did find myself reading to see how that story would end up, so it worked well enough. Also, I don't think I really have a complete grasp of the material; rather, it feels like a good introduction to what statistics is, why it's important, and what it can do. Still, as an attempt at making statistics a bit more fun for the new learner, it works quite well.

[Sami · Rating 3 out of 5]

This was a cute way to talk about statistics, and I enjoyed the story line. That being said, this book covers just a BROAD overview of Introductory Statistics. There are more layers and details to Intro Stats that aren't talked about. I felt the concepts were talked about well, but for those going into this knowing nothing about statistics...I feel like it could do a better job explaining. Overall I'd give it a solid 3.5 stars. If you have a general understanding of hypothesis testing already, are using this to review intro stats, or are a math nerd, I think this is a great read!

Generalized content warnings: None

[Francis · Rating 4 out of 5]

I mean, it sure is more fun than the statistics textbook I have. But I agree with what our professor said—the gender stereotyping in this is pretty awful. Of course it’s all about a girl wanting to be with the cute boy and in the end falling for the nerdy guy instead. Still, it was a fun read for an hour or so, and gave me an extra set of examples and visuals to look at as reference when we talk about some of these topics in class.

[Hrefna María · Rating 5 out of 5]

I picked up this book at my university's library because the artstyle piqued my interest. Over the next few days, me and my partner read it together over breakfast and laughed at the whimsical storyline wrapped in the theoretical study material that is introductory statistics. I find the delivery to be a great way to reach a larger audience for this subject. I recommend it both for people that find statistics to be dry and boring, and for people who like mathematics.

[Johan · Rating 3 out of 5]

The chapters about datatypes, numerical data, categorical data, mean, median standard deviation, standard score, deviation score and the accompanying excel exercises are very good, but I found that for more complex topics like probability density function, chi-square distribution, Cramer’s coefficient, ... (chapters 5, 6 and 7) this format isn’t suitable. Or at least it doesn’t work for me.

[Pashmina · Rating 5 out of 5]

Two of my favourite things in one: manga and statistics! The explanations were very clear, and I hope to actually use them in the future. The story was a little cheesy, but I liked it! I will make sure to read more from this series!

[Kirana · Rating 4 out of 5]

Lumayan seru, rasanya bisa ikut belajar bareng basic statistic. Bagi saya seperti balik ke semester 2, saat belajar tentang metode statistika ಡ⁠ ͜⁠ ⁠ʖ⁠ ⁠ಡ. Penjelasannya gampang dimengerti, ada contohnya juga.

Overall bagus, jadi pengen baca yang seri lain.

[Thomas · Rating 3 out of 5]

I found the first half of the book informative, but the last half of the book did not explain itself well. The spreadsheet exercises were useful, but don't cover the material at the end of the book.

[Michelle · Rating 5 out of 5]

Not as good as electricity or physics, but still legit decent.

[Phillias · Rating 5 out of 5]

approachable

[Zachary Frazier · Rating 4 out of 5]

A good introduction and support text. Not sufficient on its own, but when paired with a text book or a class, very powerful.

[Ray · Rating 4 out of 5]

Not sure if you would learn much new from this but it was a nice refresher.

[Mohamed Mossad · Rating 2 out of 5]

informative but not inclusive and the student-teacher relationship storyline is creepy.

[Anna Snader · Rating 2 out of 5]

Manga and statistics = chaos. Not my favorite AP supplemental reading choice.

[Rolf · Rating 3 out of 5]

I'm not a big enough manga fan for this to be my preferred way to learn this content, but hey, it does what it says on the cover.

[Simum Mahmud · Rating 4 out of 5]

Covered Most of what I needed. The book was one of the fastest books i have read since I could not stop reading it. Well , I learned a heck lot.

[Uncertainty · Rating 4 out of 5]

Great book, but not enough to grasp statistics!

[David Goh · Rating 3 out of 5]

Pretty incredible concept and definitely in the direction I want to see teaching materials take but I guess statistics at the pre-U level just doesn’t give enough room to be interesting…