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.
