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Statistics Explained: A Guide for Social Science Students, 2nd Edition 2nd Edition
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Interestingly enough, if you go to Professor Hinton's Oxford Brookes University website you will see that he is not listed as a Statistics Professor. According to the website he is responsible for managing the Institute's portfolio of undergraduate modular programmes in Communication, Media and Culture; Early Childhood Studies, Education and Human Development; English Language and Linguistics; Performing Arts; Philosophy; Religion, Culture and Ethics; Sports and Coaching.
Not the typical Statistics author. Certainly not the typical Statistics book. Highly recommended.
These minor points aside, this book is a wonderfully readable and not at all intimidating introduction to statistics. Highly recommended!
ANOVA seems to form the core of this book, in its various guises and usages. But my favorite chapter is the last one, which introduces the general linear model as an umbrella for most statistical concepts presented in the book. This has been a fresh take on the whole subject for me when I first read it.
I take away one star because the book has no exercises for the readers to sharpen their pencils. The chapters contain some worked examples, but these are not enough for students. So you would need another book for that purpose. Also, this book is very light on probability topics.
I do not recall any other Statistics book I've read executing this approach so well. Nowhere in 'Statistics Explained' will you find a formula presented out of the blue. Instead, you are first invited into a research problem, and then presented with naturally arising questions on how statistics can help. Next you are walked through the evolution and pros and cons of the relevant statistical method. This type of instruction puts the reader's understanding on a scientific basis that is powerful, yet easily accessible. Page after page, I found myself applauding Perry Hinton's success in conveying complex reasoning using simple words and clever examples.
The book has no exercises. But it doesn't need any. The understanding Hinton imparts is so complete that you are sufficiently enthused to apply the methods straightaway in the real world. After about 40 pages my hands were itching to put down the book and pull out my monthly expenditure records to find out their variance, standard deviation and perform 'z' tests. I can't believe I am now writing these once intimidating terms with well-grounded confidence, after reading only 40 pages, that too without much sweat. (I did not use calculus or any software).
I have willingly given in to the temptation and thrill of applying statistics. Thank you Prof Hinton.
Most Recent Customer Reviews
I don't love statistics and have been having a hard time figuring out how to make sense of it all (since it is a big part of an upcoming exam). Read morePublished on May 29, 2012 by Ms. Sklar
This book has helped me make sense of parts of my school texts that are simply inaccessible. Recommended. Read morePublished on April 26, 2012 by Mick Mack
This book served me well for my introductory statistics class. It was easy to understand and clarified things that the class text did not. Read morePublished on March 27, 2011 by lorraine