Experimental Statistics for Agriculture and Horticulture: 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

Download or read book Experimental Statistics for Agriculture and Horticulture: 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 written by and published by . This book was released on 2010 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing practical training supported by a sound theoretical basis, this textbook 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. The 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. It is suitable for upper-level undergraduate and graduate students of agriculture, horticulture and related disciplines