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DESIGN AND ANALYSE YOUR EXPERIMENT WITH MINITAB
TONY GREENFIELD AND ANDREW METCALFE

Paperback
RRP: £31.99
ISBN: 9780340807804
ISBN-10: 0340807806

Published: 23/02/2007
Extent: 288 pages
Illustrations: 100 b/w line drawings

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Summary:
Progress in engineering and the physical sciences, agriculture and the biological sciences, and to some extent social science, depends on experiments. The design of such experiments is crucial. If they are poorly designed they will be inefficient and may lead to misleading conclusions. Nevertheless, many investigators and researchers in industry and universities are expected to design and analyze their own experiments. Even if investigators do have access to statistical advice, they will be expected to have some basic knowledge of the issues. This book aims to help.

Covering all the most commonly used designs of experiments, the methods and the potential pitfalls are described in clear English. The techniques are introduced with case studies of practical significance. The cases are based on real experiments but are described in the context of three fictitious organizations: an engineering company, SeaDragon; a pharmaceuticals and chemicals manufacturer AgroPharm; and the Department of Social Studies at the University of Erewhon. All technical terms are defined and the mathematical development is restricted to that which is needed to use MINITAB.

  • Practical illustrations and examples form an integral part of the text
  • Specifically linked to the most widely used statistical package in this area, MINITAB
  • Tony Greenfield is the 1994 recipient of the ASQ Statistics Division William G Hunter Award

Table of Contents:
Preface
Notation
Style
Website for data sets
Sources of data
Guide
Descriptive statistics and plotting
Single sample experiments
Comparison of proportions
Comparing two treatments
Comparison of several means
Two-level factorial experiments
Fractional two-level factorial experiments
Response surfaces
Hill climbing
Robust design
Hierarchical (nested) designs
Two factors at several levels
Crossed and nested factors, and split plot designs
Mixture designs
Discrete response
Post-script
The authors
Glossary
References
Index

About the Author(s):
Tony Greenfield is an Industrial Research Consultant.
Andrew Metcalfe is a Senior Lecturer in Statistics at the University of Adelaide.

Readership:
Undergraduate and postgraduate students in maths, statistics, science, technology and engineering departments

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