- 488 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Statistics in Research and Development
About this book
Many scientists and technologists would like to carry out their own statistical analyses without reference to a professional statistician. Often, however, they have no knowledge of statistics or otherwise do not know how to apply it to research and development problems. The first edition of Statistics in Research and Development was written for the
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Yes, you can access Statistics in Research and Development by R. Caulcutt in PDF and/or ePUB format, as well as other popular books in Business & Operations. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Contents
- Preface
- 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
- Appendix A: The sigma (L) notation
- Appendix B: Notation and formulae
- Appendix C: Sampling distributions
- Appendix D: Copy of computer print-out from a multiple regression program
- Appendix E: Partial correlation
- Appendix F: Significance tests on effect estimates from a p2n factorial experiment
- Solutions to problems
- References and further reading
- Statistical tables
- Index