Statistics in Research and Development

Caulcutt, R.

• 1. What is statistics? 2. Describing the sample 3. Describing the population 4. Testing and estimation: One sample 5. Testing and estimation: Two samples 6. Testing and estimation: Qualitative data 7. Testing and estimation: Assumptions 8. Statistical process control 9. Detecting process changes 10. Investigating the process-an experiment 11. Why was the experiment not successful? 12. Some simple but effective experiments 13. Adapting the simple experiments 14. Improving a bad experiment 15. Analysis of variance 16. An introduction to Taguchi techniques

"Includes new sections on statistical process control and Taguchi methods. The book is friendly to read...I enjoyed it more than the usual introductory text because of its use, in the early chapters, of a single manufacturing example to set a common context for all the methods presented."-Short Book Review of the International Statistical Institute"(The new sections) continue the fine features of the first edition - practical approach, clear explanations, extensive use of chemistry examples, and good problem sets...This remains a very fine book."-Technometrics"This book is easy to read and digest, and I liked the author's writing style. It contains a minimal amount of formulas and details about statistical techniques, and instead stresses their applications. The data examples were particularly insightful...Overall, I would recommend this book to individuals intersted in a basic introduction to understanding how statistical techniques can be used to solve industrial problems."-Journal of Quality Technology