Agricultural Experimentation Design and Analysis Thomas M. Little, University of California, Riverside F. Jackson Hills, University of California, Davis For agricultural researchers and students who want to learn the principles of designing and conducting agricultural experiments, but do not have the time to master the details of abstract mathematics, here is the ideal book--straightforward and simple. Little and Hills offer on easy-to-understand, easy-to-apply discussions of the most common statistical methods and experimental designs used in agricultural research, with step-by-step procedures for the analysis of the results. Keeping complicated statistical notation to a minimum, the authors explain the logic behind the most common experimental designs used in agriculture. The authors show how to design your own experiments properly and to draw valid conclusions from the results. The spiral binding lets you open the book flat, so it can be easily used as a workbook for following the steps of any particular procedure.

A simple, straightforward presentation of basic statistical methods and experimental designs with emphasis on how to compute essential statistics. Introduces principles of experimentation and explains common experimental designs; detailed, step-by-step procedures show the logic and reasoning behind each analysis. Includes sections on correlation and regression, analysis of counts, and mean separation, with especially thorough coverage of transformations and the analysis of variance.