The Manga Guide to Statistics (Statistics&Comics)

The Manga Guide to Statistics

Think you can't have fun learning statistics? Think again.

The Manga Guide to Statistics will teach you everything you need to know about this essential discipline, while entertaining you at the same time. With its unique combination of Japanese-style comics called manga and serious educational content, the EduManga format is already a hit in Japan.

In The Manga Guide to Statistics, our heroine Rui is determined to learn about statistics to impress the dreamy Mr. Igarashi and begs her father for a tutor. Soon she's spending her Saturdays with geeky, bespectacled Mr. Yamamoto, who patiently teaches her all about the fundamentals of statistics: topics like data categorization, averages, graphing, and standard deviation.

After all her studying, Rui is confident in her knowledge of statistics, including complex concepts like probability, coefficients of correlation, hypothesis tests, and tests of independence. But is it enough to impress her dream guy? Or maybe there's someone better, right in front of her?

Reluctant statistics students of all ages will enjoy learning along with Rui in this charming, easy-to-read guide, which uses real-world examples like teen magazine quizzes, bowling games, test scores, and ramen noodle prices. Examples, exercises, and answer keys help you follow along and check your work. An appendix showing how to perform statistics calculations in Microsoft Excel makes it easy to put Rui's lessons into practice.

This EduManga book is a translation from a bestselling series in Japan, co-published with Ohmsha, Ltd. of Tokyo, Japan.

Απόσπασμα από το κόμικ θα βρείτε εδώ :
http://www.scribd.com/doc/12927466/The-Manga-Guide-to-Statistics-excerpt

Αν κάποιος φίλος το βρει σε pdf ας ποστάρει.
Αν και θα το αγοράσω μάλλον.

Αξιόλογη σειρά για το είδος της. Έχει βγει και για άλλες επιστήμες Μαθηματικά - Φυσική Βάσεις δεδομένων κτλ.

1.Manga-Guide-Calculus
2.Manga-Guide-Electricity
3.Manga-Guide-Physics
4.Manga-Guide-Databases
5. ... etc
Όποιος θέλει να ρίξει ματιά στο οδηγό μάνγκα για στατιστική ας ρίξει ένα πμ. (Υλικά με copyright καλύτερα ας μην εμφανίζονται έτσι χύμα)

Υπάρχει και το Cartoon Guide to Statistics. Αντίστοιχα υπάρχει σειρα για αρκετές επιστήμες (μερικά από τα βιβλία είναι μεταφρασμένα στα ελληνικά).

Δειτε εδώ για όλη τη σειρα (τίτλους και εξώφυλα) http://www.larrygonick.com/html/pub/pub.html
Δείτε εδώ για για το Cartoon guide to statistics http://www.amazon.com/Cartoon-Guide-Statistics-Larry-Gonick/dp/0062731025

Ακολουθεί ένα review του βιβλίου που το πήρα από το http://jalt.org/test/str_2.htm


The Cartoon Guide to Statistics
by Larry Gonick & Woollcott Smith (2000)ISBN: 0-06-273102-5
New York: Harper Collins

Book Review

The Cartoon Guide to Statistics
by Larry Gonick & Woollcott Smith (2000)ISBN: 0-06-273102-5
New York: Harper Collins
This book follows the literary traditions of France and Japan in which some comic books cover serious topics and are considered intellectual stimulants. Gonick is a well-respected illustrator of non-fiction cartoon books and has a cartoon column in Discover magazine. Smith is a research and consulting statistician at Temple University. Together they have compiled a short discussion on statistical analysis and its implications in modern academic and commercial society.

The book's 231 pages are twelve chapters followed by a bibliography and index. The first chapter offers a laconic defence of the importance of statistics in social and academic circumstances. The second illustrates data analysis: the collecting, display, and summary of data. The third chapter demonstrates probability and its applied application in statistical analysis. The next two chapters explain statistical interference, probability models and the random variables. Chapter six introduces sampling design: stratification and data clustering. Concepts such as standard error, mean, and t-distribution are clarified. Chapter seven is concerned with data interpretation and making statistical inferences. Chapter eight discusses hypothesis testing and the value of significance testing. Chapter nine covers population testing and statistical pitfalls to avoid. Chapter ten discusses experimental design, summarising replication and randomisation. The next chapter introduces regression analysis: ANOVA analysis, correlation coefficient, linear and non-linear regressions, and the interpretation of regression results. The final chapter mentions characteristics of statistical analysis and its consequent influence on contemporary society.

This book's humour exaggerates particular perspectives at the expense of other viewpoints. The positive aspects of this book are its historical analysis of different quantitative theorems and analyses. Readers are briefly introduced to memorable personages in statistics. It is tempting to know more about such men as James Bernoulli and Abraham de Moivre who explained standard normal distribution, Chevalier de Mere (was he really a rake?), Pierre de Fermat and Blaise Pascal who defined the laws of probability, Rev. Thomas Bayes who developed a theorem to account for false positives, John Tukey who invented the stem-leaf diagram, William Gosset who developed the "students t" theorem which clarified differences between a sample and normal distribution, Francis Galton who explained the regression to the mean, R. A. Fisher (the father of modern statistics), and Herman Chernoff who devised a method of plotting more than two variables on a flat page. One cannot help wondering if there were statisticians other than European males, but perhaps the design of the book does not allow such intellectual meandering. The brief bibliography is also an interesting reference guide to other statistical books and software. Only one woman's material is mentioned, however, that of Barbara Ryan, co-author of Minitab Handbook (1985).

A few irritants are the continual remarks that statistical analysis is difficult, compounded by a preadolescent sense of humour. The latent psychological effect of the frequent references to the difficulties of understanding statistical analysis only confirms to the novice that statistics is an obscure and tedious subject to undertake. Statistics is difficult and hard slog is needed to comprehend and master it, but novice fears do not need to be repeatedly affirmed about a discipline that can be understood. All the major characters, narrators, the pollsters and instructors in the book are men. The women merely observe the activities from frame to frame. The humour is at times phallic and negates a more egalitarian purpose; such as the discussion of confidence intervals using gender differences in salaries as an example (i.e., p. 169).

[ p. 9 ]

Unfortunately, this book does not discuss contemporary issues such as Structural Equation modeling, but this could be because it was originally published in the early 1990's. It should also be noted that a list correcting the book's statistical typos are available on Smith's web page at http://www.sbm.temple.edu/~wksmith/corrections.pdf [expired link].

It would be difficult to recommend this book to a beginning statistical student and some more serious statisticians could regard the book as overly facile. Most novices do not have enough time or motivation to browse the academic development of a particular analysis with deadlines hanging over them. It will not help the novice interpreting results or choosing which type of analysis to employ. However, students who are interested in more surface explanations might enjoy this book.

This is not a hands-on how to do an analysis book, but a humorous digest of why such analysis is administered and what the given results indicate. This book needs to be appreciated for exactly what is was designed for. The Cartoon Guide to Statistics is a coffee table text designed for nerds who collect old slide rules and discarded abacuses.

Reviewed by P. L. Stribling

This book follows the literary traditions of France and Japan in which some comic books cover serious topics and are considered intellectual stimulants. Gonick is a well-respected illustrator of non-fiction cartoon books and has a cartoon column in Discover magazine. Smith is a research and consulting statistician at Temple University. Together they have compiled a short discussion on statistical analysis and its implications in modern academic and commercial society.

The book's 231 pages are twelve chapters followed by a bibliography and index. The first chapter offers a laconic defence of the importance of statistics in social and academic circumstances. The second illustrates data analysis: the collecting, display, and summary of data. The third chapter demonstrates probability and its applied application in statistical analysis. The next two chapters explain statistical interference, probability models and the random variables. Chapter six introduces sampling design: stratification and data clustering. Concepts such as standard error, mean, and t-distribution are clarified. Chapter seven is concerned with data interpretation and making statistical inferences. Chapter eight discusses hypothesis testing and the value of significance testing. Chapter nine covers population testing and statistical pitfalls to avoid. Chapter ten discusses experimental design, summarising replication and randomisation. The next chapter introduces regression analysis: ANOVA analysis, correlation coefficient, linear and non-linear regressions, and the interpretation of regression results. The final chapter mentions characteristics of statistical analysis and its consequent influence on contemporary society.

This book's humour exaggerates particular perspectives at the expense of other viewpoints. The positive aspects of this book are its historical analysis of different quantitative theorems and analyses. Readers are briefly introduced to memorable personages in statistics. It is tempting to know more about such men as James Bernoulli and Abraham de Moivre who explained standard normal distribution, Chevalier de Mere (was he really a rake?), Pierre de Fermat and Blaise Pascal who defined the laws of probability, Rev. Thomas Bayes who developed a theorem to account for false positives, John Tukey who invented the stem-leaf diagram, William Gosset who developed the "students t" theorem which clarified differences between a sample and normal distribution, Francis Galton who explained the regression to the mean, R. A. Fisher (the father of modern statistics), and Herman Chernoff who devised a method of plotting more than two variables on a flat page. One cannot help wondering if there were statisticians other than European males, but perhaps the design of the book does not allow such intellectual meandering. The brief bibliography is also an interesting reference guide to other statistical books and software. Only one woman's material is mentioned, however, that of Barbara Ryan, co-author of Minitab Handbook (1985).

A few irritants are the continual remarks that statistical analysis is difficult, compounded by a preadolescent sense of humour. The latent psychological effect of the frequent references to the difficulties of understanding statistical analysis only confirms to the novice that statistics is an obscure and tedious subject to undertake. Statistics is difficult and hard slog is needed to comprehend and master it, but novice fears do not need to be repeatedly affirmed about a discipline that can be understood. All the major characters, narrators, the pollsters and instructors in the book are men. The women merely observe the activities from frame to frame. The humour is at times phallic and negates a more egalitarian purpose; such as the discussion of confidence intervals using gender differences in salaries as an example (i.e., p. 169).

[ p. 9 ]

Unfortunately, this book does not discuss contemporary issues such as Structural Equation modeling, but this could be because it was originally published in the early 1990's. It should also be noted that a list correcting the book's statistical typos are available on Smith's web page at http://www.sbm.temple.edu/~wksmith/corrections.pdf [expired link].

It would be difficult to recommend this book to a beginning statistical student and some more serious statisticians could regard the book as overly facile. Most novices do not have enough time or motivation to browse the academic development of a particular analysis with deadlines hanging over them. It will not help the novice interpreting results or choosing which type of analysis to employ. However, students who are interested in more surface explanations might enjoy this book.

This is not a hands-on how to do an analysis book, but a humorous digest of why such analysis is administered and what the given results indicate. This book needs to be appreciated for exactly what is was designed for. The Cartoon Guide to Statistics is a coffee table text designed for nerds who collect old slide rules and discarded abacuses.

Reviewed by P. L. Stribling

Για όσους δεν το ξέρουν ήδη, υπάρχει και το logicomix που κάνει μεγάλη επιτυχία και στο εξωτερικό. Οι εφημερίδες και τα κανάλια το ανακάλυψαν τώρα ενώ ήδη κυκλοφορεί στην Ελλάδα από πέρσι λόγω της μεγάλης παγκόσμιας επιτυχίας και των καλών κριτικών από εφημερίδες του εξωτερικού (που ασχολούνται με το κόμιξ και τις επιστήμες πιο σοβαρά από ότι εδω).

Παρόλο που δεν έχει σχέση με στατιστική αλλά με την ιστορία των μαθηματικών και της λογικής νομίζω ότι θα το βρείτε πολύ ενδιαφέρον.

Το σιτε http://www.logicomix.com/gr/ είναι εκπληκτικό και έχει και τις κριτικές των εφημερίδων αν θέλετε να τις χαζέψετε.

Ένα κεφάλαιο από το Manga Guide to Statistics που τίτλο 4: Standard Score and Deviation Score

Right Click -> Save target as ->.. για αποθήκευση

Τρομερό το Λογικόμιξ πραγματικά, μίλαγε για "βαρετά" για πολλούς πράγματα με τρόπο που σε σαγήνευε και σου κέρδιζε το ενδιαφέρον σε κάθε σελίδα.

Αξιοπρόσεχτο ότι πέρσι η τιμή του κυμαινόταν γύρω στα 18 ευρώ ενώ φέτος με ειδικές εκδόσεις κτλ από 25-35 ευρώ!!