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» » Statistics Explained: A Guide for Social Science Students, 2nd Edition

# eBook Statistics Explained: A Guide for Social Science Students, 2nd Edition ePub

## by Perry R. Hinton

• ISBN: 0415332850
• Category: Mathematics
• Subcategory: Math Science
• Author: Perry R. Hinton
• Language: English
• Publisher: Routledge; 2 edition (September 2, 2004)
• Pages: 400
• ePub book: 1644 kb
• Fb2 book: 1929 kb
• Other: txt doc azw lrf
• Rating: 4.1

## Description

As the author, Perry Hinton, states in the preface, the book goes behind every statistics formula and perfectly explains . This book served me well for my introductory statistics class.

As the author, Perry Hinton, states in the preface, the book goes behind every statistics formula and perfectly explains the reasoning behind the formula, and unfailingly gives logical steps that tightly follow each other, all of it culminating in a comprehensive justification for each component of every mathematical expression. With all doubts cleared, the reader develops an excellent temper for statistics, and becomes a sophisticated consumer and practitioner of statistics. It was easy to understand and clarified things that the class text did not. It will be a good reference for when I take advanced statistics.

Statistics Explained' stands out as an achievement in teaching and exposition. Nowhere in 'Statistics Explained' will you find a formula presented out of the blue. As the author, Perry Hinton, states in the preface, the book goes behind every statistics formula and perfectly explains the reasoning behind the formula, and unfailingly gives logical steps that tightly follow each other, all of it culminating in a comprehensive justification for each component of every mathematical expression.

Statistics Explained book. Goodreads helps you keep track of books you want to read

Statistics Explained book. Goodreads helps you keep track of books you want to read.

Comparing Two Sets of Data with Descriptive Statistics. Some Important Information About Numbers

Comparing Two Sets of Data with Descriptive Statistics. Some Important Information About Numbers. Comparing Scores from Different Distributions. The Normal Distribution. The Standard Normal Distribution. Introduction to Hypothesis Testing. Testing a Hypothesis. The Logic of Hypothesis Testing. Descriptive Statistics. Measures of 'Central Tendency'. Measures of 'Spread'. Describing a Set of Data: In Conclusion.

Author: Perry R. Hinton ISBN 10: 0415332850. Read full description. Statistics Explained: A Guide for Social Science Students by Perry R. Hinton (Paperback, 2004). Pre-owned: lowest price.

Statistics Explained clearly outlines the major statistical tests used by undergraduates in the social sciences. It provides easy-to-understand explanations of how and why they are used and makes statistics much less mysterious. This book: Is a simple introduction to the jargon Shows you when to be sceptical about statistics Guides you in using computers in statistical analysis. Statistics Explained can be dipped into so that readers can see why a specific analytical procedure was developed and what it is best used for.

Statistics Explained clearly outlines the major statistical tests used by undergraduates in psychology and the social sciences. It provides easy-to-understand explanations of how and why they are used and makes statistics much less of a burden

Statistics Explained clearly outlines the major statistical tests used by undergraduates in psychology and the social sciences. It provides easy-to-understand explanations of how and why they are used and makes statistics much less of a burden. This book: is a simple introduction to statistical concepts and ideas shows you when to be sceptical about statistics helps you to understand the results of statistical analysis by computer

Statistics Explained clearly outlines the major statistical tests used by undergraduates in the social sciences. It provides easy-to-understand explanations of how and why they are used and makes statistics much less mysterious. This book:

Is a simple introduction to the jargon Shows you when to be sceptical about statistics Guides you in using computers in statistical analysis.

Statistics Explained can be dipped into so that readers can see why a specific analytical procedure was developed and what it is best used for. Readers can also analyse their own data by following the worked examples provided. People who understand statistics are not unusual. Anyone can do it. In this book, Perry Hinton shows that statistics can be a logical and helpful tool to all of us in deciding answers to our research questions. Statistics Explained will be warmly welcomed by students at all levels, and by the lecturers who struggle to teach them.

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MOQ
'Statistics Explained' stands out as an achievement in teaching and exposition. As the author, Perry Hinton, states in the preface, the book goes behind every statistics formula and perfectly explains the reasoning behind the formula, and unfailingly gives logical steps that tightly follow each other, all of it culminating in a comprehensive justification for each component of every mathematical expression. With all doubts cleared, the reader develops an excellent temper for statistics, and becomes a sophisticated consumer and practitioner of statistics.

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.
Minha
I have at least six different statistics texts, each with a "sure fire" way to make statistics clear. This was the only text that made that happen. The logical approach the author takes includes the derivation of formula from one-step to another. Z-scores, an easy to understand concept -- once explained -- was the first step in the evolution to the t-tests and beyond. I have this book as a hardcopy and a Kindle text, the latter for review, the former for more elaborate notes.
Jazu
This book has helped me make sense of parts of my school texts that are simply inaccessible. Recommended. If you want to understand the foundations behind the equations and algorithms, this book will help.
Mataxe
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). This book is well-written, with the basics of research design explained, thus providing a foundation for statistical test selection. This book gives a contextual basis for understanding statistics, which is helpful for those of us who think in words, not in numbers.
Era
A very user friendly book. So far, not a lot of practice problems because in real life softeware does so much of the heavy lifting, but this text conveys very lucidly the basic concepts.
Mitynarit
This book served me well for my introductory statistics class. It was easy to understand and clarified things that the class text did not. It will be a good reference for when I take advanced statistics.
Fountain_tenderness
Great book.
Professor Hinton's book provides the reader with the best and clearest explanations for potentially difficult subjects such as Types I and II errors, the meaning of the sums of squares in ANOVA, and the interpretation of Pearson's R in regression. Those are topics that many beginners find hard to grasp. If you have learned "how to do" Statistics but are not sure you understand the underlying concepts this book is for you. If you need a theoretically sound review of basic Statistical concepts, at the same time as readable as possible, this book is for you too. Professor Hinton has an incredible way of explaining hard topics in crystal-clear, easily understandable detail. He does not take anything for granted. Even those afraid of Statistics may find pleasure in reading Hinton's book - the pleasure that comes from thoroughly understanding a concept. This is the second edition of a great book.

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.