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Practical Statistics and Experimental Design for Plant and Crop Science - Alan G. Clewer, David H. Scarisbrick

Practical Statistics and Experimental Design for Plant and Crop Science

Buch | Softcover
346 Seiten
2001
John Wiley & Sons Inc (Verlag)
978-0-471-89909-9 (ISBN)
CHF 128,75 inkl. MwSt
The only way to recommend new crop varieties, agrochemicals and husbandry systems is after they have been thoroughly tested in a series of replicated field trials. The trials, which are used to test these products or systems, need to be designed in such a way that the results obtained are reasonable and representative.
Presents readers with a user-friendly, non-technical introductionto statistics and the principles of plant and crop experimentation.Avoiding mathematical jargon, it explains how to plan and design anexperiment, analyse results, interpret computer output and presentfindings. Using specific crop and plant case studies, this guidepresents:
* The reasoning behind each statistical method is explained beforegiving relevant, practical examples
* Step-by-step calculations with examples linked to three computerpackages (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 toundergraduate and postgraduate students studying plant sciences,including plant and crop physiology, biotechnology, plant pathologyand agronomy, plus ecology and environmental science students andthose wanting a refresher or reference book in statistics.

Alan G. Clewer and David H. Scarisbrick T. H. Huxley School of Environment, Earth Sciences and Engineering, Imperial College at Wye, Ashford, Kent, UK

Preface.

Basic Principles of Experimentation.

Basic Statistical Calculations.

Basic Data Summary.

The Normal Distribution, the t-Distribution and Confidence Intervals.

Introduction to Hypothesis Testing.

Comparison of Two Independent Sample Means.

Linear Regression and Correlation.

Curve Fitting.

The Completely Randomised Design.

The Randomised Block Design.

The Latin Square Design.

Factorial Experiments.

Comparison of Treatment Means.

Checking the Assumptions and Transformation of Data.

Missing Values and Incomplete Blocks.

Split Plot Designs

Comparison of Regression Lines and Analysis of Covariance.

Analysis of Counts.

Some Non-parametric Methods.

Appendix 1: The Normal Distribution Function.

Appendix 2: Percentage Points of the Normal Distribution.

Appendix 3: Percentage Points of the t-Distribution.

Appendix 4a: 5 Per Cent Points of the F-Distribution.

Appendix 4b: 2.5 Per Cent Points of the F-Distribution.

Appendix 4c: 1 Per Cent Points of the F-Distribution.

Appendix 4d: 0.1 Per Cent Points of the F-Distribution.

Appendix 5: Percentage Points of the Sample Correlation Coefficient (r) When the Population Correlation Coefficient is 0 and n is the Number of X.Y. Pairs.

Appendix 6: 5 Per Cent Points of the Studentised Range, for Use in Tukey and SNK Tests.

Appendix 7: Percentage Points of the Chi-Square Distribution.

Appendix 8: Probabilities of S or Fewer Successes in the Binomial Distribution with n 'trials' and p = 0.5.

Appendix 9: Critical Values of T in the Wilcoxon Signed Rank or Matched Pairs Test.

Appendix 10: Critical Values of U in the Mann-Whitney Test.

References.

Further Reading.

Index.

Erscheint lt. Verlag 5.1.2001
Verlagsort New York
Sprache englisch
Maße 171 x 247 mm
Gewicht 624 g
Themenwelt Mathematik / Informatik Mathematik Statistik
Naturwissenschaften Biologie Botanik
Weitere Fachgebiete Land- / Forstwirtschaft / Fischerei
ISBN-10 0-471-89909-7 / 0471899097
ISBN-13 978-0-471-89909-9 / 9780471899099
Zustand Neuware
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