Using Statistics: A Gentle Guide / Edition 1

by Gordon Rugg

Overview

IF YOU'RE ENCOUNTERING STATISTICS FOR THE FIRST TIME, AND WANT A READABLE, SUPPORTIVE INTRODUCTION, THEN THIS IS THE BOOK FOR YOU.

There are plenty of excellent stats books in the world, but very few of them are entertaining reading. One result is that many students are deterred by stats. But this book is different.

Written in an informal style, it guides the reader gently through the field from the simplest descriptive statistics to multidimensional approaches. It's written in an accessible way, with few calculations and fewer equations, for readers from a broad set of academic disciplines ranging from archaeology to zoology.

There are numerous illustrative examples that guide the reader through:

• How to answer various types of research question
• How to use different forms of analysis
• The strengths and weaknesses of particular methods
• Methods that may be useful but that don't usually appear in statistics books

In this way, the book's emphasis is on understanding how statistics can be used to help answer research questions, rather than on the minute details of particular statistical tests.

Using Statistics is key reading for students who are looking for help with quantitative projects, but would like a qualitative introduction that takes them gently through the process.

Product Details

ISBN-13:	9780335222186
Publisher:	McGraw-Hill Education
Publication date:	04/28/2008
Edition description:	New Edition
Pages:	152
Product dimensions:	5.90(w) x 8.90(h) x 0.60(d)

About the Author

Gordon Rugg is a former field archaeologist and English lecturer turned computer scientist, who is now head of the Knowledge Modelling Group at Keele University. His research includes software evaluation, mediaeval cryptography, the origins of handedness and training needs analysis for store detectives. He is co-author, with Marian Petre, of The Unwritten Rules of PhD Research (Open University Press, 2004) and A Gentle Guide to Research Methods (Open University Press, 2007).

Table of Contents

List of figures     vii
Preamble     ix
Acknowledgements     xi
Some introductory concepts     1
Measurement theory     15
Descriptive statistics     20
Patterns in data and presentation of data     25
'None of the above': the role of knowledge representation     46
The sixfold paths: some observations on probability theory     53
Inferential statistics: some introductory thoughts     68
Non-parametric statistics     77
Correlations     89
Parametric statistics     100
Multidimensional statistics     108
Some general considerations     117
Appendix     124
Bibliography     127
Glossary and useful concepts     129
Sources of quotations     132
Index     133