Edition: 3rd 2014 (Revised)
List price: $32.99
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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 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.
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All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.
List price: $32.99
Copyright year: 2014
Publisher: Taylor & Francis Group
Publication date: 4/30/2014
Size: 7.50" wide x 9.50" long x 0.75" tall
|Introduction to Hypothesis Testing|
|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|
|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|
|An Introduction to the General Linear Model|