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Design and Analyse Your Experiment Using MINITAB, by Tony Greenfield, Andrew V. Metcalfe
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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.
- Sales Rank: #3319634 in Books
- Published on: 2010-06-28
- Original language: English
- Number of items: 1
- Dimensions: 9.65" h x .62" w x 7.43" l, 1.23 pounds
- Binding: Paperback
- 312 pages
From the Back Cover
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.
About the Author
Tony Greenfield is an Industrial Research Consultant.
Andrew Metcalfe is a Senior Lecturer in Statistics at the University of Adelaide.
Most helpful customer reviews
4 of 4 people found the following review helpful.
Easy to understand
By Lance Mitchell
What I like about this book is that that it is written in plain English and has plenty of valuable illustrations, so it is easy to understand. It takes the reader through the forty-six case studies along such a structured, simple-to-complex, road that even those with little basic knowledge will learn much about both the use of Minitab and the design of effective experiments.
Whether working in a research establishment or in a business or industrial environment, most of us will have experienced the inefficiency of intuitive, trial and error, management. Occasionally, a truly amazing solution to a problem will be discovered first time, but this is often more by luck than judgement.
Designing your "experiment" allows you to arrive at a very good design before you embark upon the expense of trying out your solution.
Working through this book took very little effort, and I actually enjoyed the experience! Moreover, I felt that by the time that I turned the last page, I had learnt a great deal. Whatever your starting level, I am sure that you would be able to say the same if you take the time to work through the book for yourself.
0 of 0 people found the following review helpful.
Great case-studies, poor execution
By CJ
Summary:
This Design of Experiments (DOE) book provides excellent case studies but in the end was not as helpful as Lean Six Sigma and Minitab: The Complete Toolbox Guide for All Lean Six Sigma Practitioners (3rd edition) when it came time to design my experiment.
Pros/cons:
+ the authors use three different organizations: an engineering company, a pharmaceutical company, and a university to provide real-world case studies that are relevant to engineers, scientists and academia.
+ the case studies are diverse and relevant
- uses minitab version 14 (The current version is 16 as of December, 2011)
- all screenshots are low resolution, black and white, and usually small
Subjective:
I find the main text difficult to read and I simply didnt learn much from it. The case studies (which are numerous) are quite useful but I feel like there is a missing link between the examples and the DOE topics. Also the screenshots used in this book are truely off-putting; low-res black and whites are just not acceptable.
The Lean Six Sigma and Minitab book has a solid section on DOE that I was able to jump right into. Lean Six Sigma and Minitab is not a substitute but rather a complement - it will teach you the foundations of DOE in Minitab that are sorely lacking in this book.
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