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Providing practical training supported by a sound theoretical basis, Experimental Statistics for Agriculture and Horticulture introduces students to the principals of investigation by experiment and the role of statistics in analysis.
It draws on the author's extensive teaching experience and is illustrated with fully worked contextualized examples throughout, helping the reader to correctly design their own experiments and identify the most appropriate technique for analysis. Subjects covered include sampling and determining sample reliability, hypothesis testing, relationships between variables, the role and use of computer packages such as Microsoft Excel, Toolpak and Genstat, and more complex experimental designs such as randomized blocks and split plots.
1. Introduction to Experimental Design and Data Analysis
2. Descriptive Statistics
3. Data Distributions
4. Populations, Samples and Sample Reliability
5. Inferential Statistics and Hypothesis Testing
6. Design and Analysis of Two Sample Experiments
7. Non-parametric Analysis of the Difference Between Two Samples
8. Design and Analysis of Multi-sample Experiments
9. Analysis of Multi-factorial Experiments
10. Design and Analysis of More Complex Factorial Experiments
11. Correlation Analysis
12. Fitting Trend Lines
13. Analysis of Frequency Data
14. Performing Statistical Analyses Using Computer Packages
"[...] would happily recommend this volume."
– The Journal of Experimental Agriculture, Vol. 47 (3), 2011