Ebook Download Practical Statistics and Experimental Design for Plant and Crop Science, by Alan G. Clewer, David H. Scarisbrick
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Practical Statistics and Experimental Design for Plant and Crop Science, by Alan G. Clewer, David H. Scarisbrick
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Presents readers with a user-friendly, non-technical introduction to statistics and the principles of plant and crop experimentation. Avoiding mathematical jargon, it explains how to plan and design an experiment, analyse results, interpret computer output and present findings. Using specific crop and plant case studies, this guide presents:
* The reasoning behind each statistical method is explained before giving relevant, practical examples
* Step-by-step calculations with examples linked to three computer packages (MINITAB, GENSTAT and SAS)
* Exercises at the end of many chapters
* Advice on presenting results and report writing
Written by experienced lecturers, this text will be invaluable to undergraduate and postgraduate students studying plant sciences, including plant and crop physiology, biotechnology, plant pathology and agronomy, plus ecology and environmental science students and those wanting a refresher or reference book in statistics.
- Sales Rank: #1057948 in Books
- Published on: 2001-02-08
- Original language: English
- Number of items: 1
- Dimensions: 9.70" h x .95" w x 6.73" l, .0 pounds
- Binding: Paperback
- 346 pages
Review
"...suitable for a practical course to science students wishing to appreciate statistical methods in agricultural and environmental research." (Short Book Reviews, Vol. 21, No. 2, August 2001)
"...useful to undergraduate students..." (Zentralblatt MATH, Vol. 961, 2001/11)
From the Back Cover
Practical Statistics and Experimental Design for Plant and Crop Science provides an introduction to the principles of plant and crop experimentation. Avoiding mathematical jargon, this text explains how to plan and design an experiment, analyse results, interpret computer output and present findings. Using specific crop and plant case studies this user-friendly guide presents:
- The reasoning behind each statistical mathod before giving practical examples
- Step-by-step calculations with examples linked to three computer packages (MINITAB, GENSTAT and SAS)
- Exercises at the end of many chapters
- Advice on presenting results and report writing
About the Author
Alan G. Clewer and David H. Scarisbrick
T. H. Huxley School of Environment, Earth Sciences and Engineering, Imperial College at Wye, Ashford, Kent, UK
Most helpful customer reviews
3 of 3 people found the following review helpful.
Great book for practical statistics in crop science!
By G. Ritchie
I like this book, because it discusses some of the nuts and bolts of basic statistical analysis for crop science, as well as supplying the formulas for the statistical parameters. I would recommend this book for graduate students or researchers looking for a useful description of common experimental designs, statistical tests such as regression analysis, anova, and basic analysis of covariance. As with any statistics textbook meant for general readership, it will be a little above the capabilities of someone without any background in statistics and a little inadequate for those who are heavily invested in detailed statistical analysis, but I think it covers a nice middle ground in the literature. It would be nice if the next edition had an appendix of the basic formulas that are used commonly in the book so that there would be a more ready reference.
0 of 0 people found the following review helpful.
Easy to read
By Mollygirl
The authors partition topics well into easy-to-read sections, which is nice if you don't want to read long passages at a time. It provides information on a number of methods that were not covered in my intro plant experimental design class, so it should be useful later as a reference.
0 of 0 people found the following review helpful.
Crop Science
By Abigail S. Gerdes
This give detailed reviews of equations but also provides examples with applicable situations of when an experimental design or equation would be necessary.
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