Statistics Explained

Author:   Perry R. Hinton (Warwick University, UK)
Publisher:   Taylor & Francis Ltd
Edition:   3rd edition
ISBN:  

9781848723122


Pages:   376
Publication Date:   06 March 2014
Replaced By:   9780367366353
Format:   Paperback
Availability:   In Print   Availability explained
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Statistics Explained


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Overview

Statistics Explained is an accessible introduction to statistical concepts and ideas. It makes few assumptions about the reader’s statistical knowledge, carefully explaining each step of the analysis and the logic behind it. The book: provides a clear explanation of statistical analysis and the key statistical tests employed in analysing research data gives accessible explanations of how and why statistical tests are used includes a wide range of practical, easy-to-understand worked examples. Building on the international success of earlier editions, this fully updated revision includes developments in statistical analysis, with new sections explaining concepts such as bootstrapping and structural equation modelling. A new chapter - ‘Samples and Statistical Inference’ - explains how data can be analysed in detail to examine its suitability for certain statistical tests. The friendly and straightforward style of the text makes it accessible to all those new to statistics, as well as more experienced students requiring a concise guide. It is suitable for students and new researchers in disciplines including Psychology, Education, Sociology, Sports Science, Nursing, Communication, and Media and Business Studies. Presented in full colour and with an updated, reader-friendly layout, this new edition also comes with a companion website featuring supplementary resources for students. Unobtrusive cross-referencing makes it the ideal companion to Perry R. Hinton’s SPSS Explained, also published by Routledge. Perry R. Hinton has many years of experience in teaching statistics to students from a wide range of disciplines and his understanding of the problems students face forms the basis of this book.

Full Product Details

Author:   Perry R. Hinton (Warwick University, UK)
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Edition:   3rd edition
Dimensions:   Width: 18.90cm , Height: 1.80cm , Length: 24.60cm
Weight:   0.820kg
ISBN:  

9781848723122


ISBN 10:   1848723121
Pages:   376
Publication Date:   06 March 2014
Audience:   College/higher education ,  College/higher education ,  Tertiary & Higher Education ,  Tertiary & Higher Education
Replaced By:   9780367366353
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Reviews

I have been a fan of Hinton's Statistics Explained from its first edition and I still think this is one of the best introductory level texts on the market. The combination of clear explanation, simple worked examples and friendly style make an excellent choice for introductory classes in psychology and related disciplines. - Thom Baguley, Nottingham Trent University, UK This book really delivers on its title: It provides in-depth explanations of the reasoning behind statistical analyses. It gives students a solid understanding of some of the most important current statistical analyses, with all their conditions and pitfalls. That is exactly what is needed. ... I have used Statistics Explained in both graduate and undergraduate introduction courses to statistics, and will definitely continue using it. In the 3rd edition, I am happy to see improvements over the already excellent 2nd edition, for example in the explanation of confidence intervals. There is a great new chapter on samples and statistical inference, and a postscript that makes an excellent point about biases in the field as a whole. - Katrin Erk, The University of Texas at Austin, USA I am using Statistics Explained to demystify statistics in applied fields and for this it is doing a perfect job. All essential statistical approaches are covered in an easy to understand way and the used examples provide confirmation of the learned theory. - Reyer Zwiggelaar, Aberystwyth University, UK


I am using Statistics Explained to demystify statistics in applied fields and for this it is doing a perfect job. All essential statistical approaches are covered in an easy to understand way and the used examples provide confirmation of the learned theory. - Reyer Zwiggelaar, Aberystwyth University, UK I have been a fan of Hinton's Statistics Explained from its first edition and I still think this is one of the best introductory level texts on the market. The combination of clear explanation, simple worked examples and friendly style make an excellent choice for introductory classes in psychology and related disciplines. - Thom Baguley, Nottingham Trent University, UK This book really delivers on its title: It provides in-depth explanations of the reasoning behind statistical analyses. It gives students a solid understanding of some of the most important current statistical analyses, with all their conditions and pitfalls. That is exactly what is needed. I have used Statistics Explained in both graduate and undergraduate introduction courses to statistics for linguists, and will definitely continue using it. I think it is the perfect foundation for statistical analyses of language data. In the 3rd edition, I am happy to see improvements over the already excellent 2nd edition, for example in the explanation of confidence intervals. There is a great new chapter on samples and statistical inference, and a postscript that makes an excellent point about biases in the field as a whole. - Katrin Erk, The University of Texas at Austin, USA I have been a fan of Hinton's Statistics Explained from its first edition and I still think this is one of the best introductory level texts on the market. The combination of clear explanation, simple worked examples and friendly style make an excellent choice for introductory classes in psychology and related disciplines. - Thom Baguley, Nottingham Trent University, UK This book really delivers on its title: It provides in-depth explanations of the reasoning behind statistical analyses. It gives students a solid understanding of some of the most important current statistical analyses, with all their conditions and pitfalls. That is exactly what is needed. ... I have used Statistics Explained in both graduate and undergraduate introduction courses to statistics, and will definitely continue using it. In the 3rd edition, I am happy to see improvements over the already excellent 2nd edition, for example in the explanation of confidence intervals. There is a great new chapter on samples and statistical inference, and a postscript that makes an excellent point about biases in the field as a whole. - Katrin Erk, The University of Texas at Austin, USA I am using Statistics Explained to demystify statistics in applied fields and for this it is doing a perfect job. All essential statistical approaches are covered in an easy to understand way and the used examples provide confirmation of the learned theory. - Reyer Zwiggelaar, Aberystwyth University, UK


Praise for the first edition: This is a student-friendly text that breaks down the SPSS content into easy to digest chunks. The use of FAQs helps make the book more flexible, and even experienced SPSS users may find some handy new tips in the book. - Dr Thom Baguley, Department of Human Sciences, Loughborough University, UK


Author Information

Perry R. Hinton is a psychologist, and has worked for over twenty-five years in four British universities, in positions ranging from lecturer to Head of Department. He has taught in the areas of cognitive and social psychology, and research methods and statistics, primarily to psychology and communication and media students; but also to a wide range of students studying subjects including nursing, social work, linguistics, philosophy and education. He has written four textbooks and edited the Psychology Focus series for Routledge.

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