Get Free Ebook Practical Statistics and Experimental Design for Plant and Crop ScienceBy Alan G. Clewer, David H. Scarisbrick
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Practical Statistics and Experimental Design for Plant and Crop ScienceBy 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
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