Using Statistics: A Gentle Introduction

Erscheinungsjahr 2008
ISBN: 978-0-335-22218-6
Verlag: McGraw-Hill Publishing Company

Buch, Englisch, 152 Seiten, Format (B × H): 150 mm x 212 mm, Gewicht: 249 g

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 booksIn 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.

Autoren/Hrsg.

Rugg, Gordon

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung

Inhaltsverzeichnis

Introduction
Some introductory concepts
Descriptive statistics: a first encounter
Measurement theory
Descriptive statistics revisited
Knowledge representation
Beyond description: Answering “so what?” questions, and the role of inferential statistics.
Inferential statistics
Probability theory and inferential statistics
Parametric versus non-parametric statistics

Non-parametric statistics
Correlations
Parametric statistics
Bigger questions: multidimensional statistics
Appendices, references and further reading

Über Autor(innen)

Rugg, Gordon
Gordon Rugg is a former timberyard worker and field archaeologist who is now a Senior Lecturer in Computer Science at Keele University, where he is head of the Knowledge Modelling Group. He is also a Visiting Senior Research Fellow at the Open University.

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).