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Statistics Explained

ISBN-10: 1848723121
ISBN-13: 9781848723122
Edition: 3rd 2014 (Revised)
Authors: Perry R. Hinton
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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  More...

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Book details

Edition: 3rd
Copyright year: 2014
Publisher: Taylor & Francis Group
Publication date: 4/30/2014
Binding: Paperback
Pages: 358
Size: 7.50" wide x 9.50" long x 0.75" tall
Weight: 2.002
Language: English

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. 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.

Introduction
Descriptive Statistics
Standard Scores
Introduction to Hypothesis Testing
Sampling
Hypothesis Testing with One Sample
Selecting Samples for Comparison
Hypothesis Testing with Two Samples
Significance, Error and Power
Samples and Statistical Inference
Introduction to the Analysis of Variance
One Factor Independent Measures ANOVA
Multiple Comparisons
One Factor Repeated Measures ANOVA
The Interaction of Factors in the Analysis of Variance
The Two Factor ANOVA
Two Sample Nonparametric Analyses
One Factor ANOVA for Ranked Data
Analysing Frequency Data: Chi-Square
Linear Correlation and Regression
Multiple Correlation and Regression
Complex Analyses
An Introduction to the General Linear Model
Postscript
Notes
Glossary
References
Appendix
Index

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