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List of contents
General Statistical Packages Comparisons. Program. Data Entry. Importing Data. Manipulating Data and Formats. Descriptive Statistics. Output Formats. Experimentation Ideas. Two Sample Tests. ANOVA. Output and Meaning. Variations of One Factor ANOVA Designs. Randomized Complete Block Design. Latin Square Designs. Balanced Incomplete Block Designs. Balanced Lattice Designs. Group Balanced Block Design. Subsampling. Two and More Factors ANOVA. Split-Plot Design. Split-Block Design. Evaluation over Years or Seasons. Three Factor Design. Split-Split Plot Design. Covariance Analysis. Programming Stata. Post Hoc Tests. Planned Comparisons. Built-in Multiple Range Tests. Programming Scheffe's Test. Preparing Graphs. Graphing in Stata. Correlation and Regression. Correlation. Linear Regression. Data Transformations. Binary, Ordinal, and Categorical Data Analysis. References. Appendix. Index.
About the author
George Boyhan, PhD, is a professor of horticulture and an extension vegetable specialist. He has worked for 15 years at the University of Georgia in this capacity and has conducted a wide variety of experiments requiring statistical analyses. Prior to this, he worked at Auburn University as a senior research associate, where he designed experiments, collected data, and analyzed results. Dr. Boyhan has worked with a wide variety of crops in his career. He currently studies the development of disease-resistant pumpkins, develops watermelon varieties for organic production, and evaluates sustainable production practices. Dr. Boyhan is an internationally recognized authority on vegetable production and has given presentations at a number of venues both in the United States and internationally. He has published two book chapters, over 40 referred publications, and many other publications on vegetable production and culture.
Summary
Practical statistics is a powerful tool used frequently by agricultural researchers and graduate students involved in investigating experimental design and analysis
