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Overview

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.

Subscriber Reviews

Average Rating: 4 out of 5 rating Based on 1 Rating

"An easy read that actually helps you learn" - by Brian Peiris on 01-SEP-2013
Reviewer Rating: 1 star rating2 star rating3 star rating4 star rating5 star rating
This is a great introduction to statistics. It guides you through with examples, explanations and keeps you interested all along.
It should go without saying, this is not just a fun manga.

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Top Level Categories:
Math & Science

Sub-Categories:
Math & Science > Statistics

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