Statistics Explained
3rd Edition
Published on 21. March 2014
376 pages
978-1-317-75391-9 (ISBN)
Description
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.
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.
Reviews / Votes
"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
More details
Edition
3rd edition
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Edition type
Revised edition
Illustrations
48 farbige Abbildungen, 83 farbige Tabellen, 1 Farbfoto bzw. farbiges Rasterbild, 47 farbige Zeichnungen
83 Tables, color; 47 Line drawings, color; 1 Halftones, color; 48 Illustrations, color
ISBN-13
978-1-317-75391-9 (9781317753919)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Perry R. Hinton
Statistics Explained
Book
03/2014
3rd Edition
Routledge
€200.56
Article exhausted; check for reprint
Perry R. Hinton
Statistics Explained
Book
03/2014
3rd Edition
Routledge
€56.00
Article exhausted; check for reprint
Person
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.
Content
1 Introduction 2 Descriptive Statistics 3 Standard Scores 4 Introduction to Hypothesis Testing 5 Sampling 6 Hypothesis Testing with One Sample 7 Selecting Samples for Comparison 8 Hypothesis Testing with Two Samples 9 Significance, Error and Power 10 Samples and Statistical Inference 11 Introduction to the Analysis of Variance 12 One Factor Independent Measures ANOVA 13 Multiple Comparisons 14 One Factor Repeated Measures ANOVA 15 The Interaction of Factors in the Analysis of Variance 16 The Two Factor ANOVA 17 Two Sample Nonparametric Analyses 18 One Factor ANOVA for Ranked Data 19 Analysing Frequency Data: Chi-Square 20 Linear Correlation and Regression 21 Multiple Correlation and Regression 22 Complex Analyses 23 An Introduction to the General Linear Model 24 Postscript Notes Glossary References Appendix Index
