{"product_id":"agricultural-experimentation-isbn-9780471023524","title":"Agricultural Experimentation","description":"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. Logic, Research, and Experiment.\u003cbr\u003e \u003cbr\u003e Some Basic Concepts.\u003cbr\u003e \u003cbr\u003e The Analysis of Variance and t Tests.\u003cbr\u003e \u003cbr\u003e A Population of Mean Differences.\u003cbr\u003e \u003cbr\u003e The Completely Randomized Design.\u003cbr\u003e \u003cbr\u003e The Randomized Complete Block Design.\u003cbr\u003e \u003cbr\u003e Mean Separation.\u003cbr\u003e \u003cbr\u003e Latin Square Design.\u003cbr\u003e \u003cbr\u003e The Split-Plot Design.\u003cbr\u003e \u003cbr\u003e The Split-Split Plot.\u003cbr\u003e \u003cbr\u003e The Split Block.\u003cbr\u003e \u003cbr\u003e Subplots as Repeated Observations.\u003cbr\u003e \u003cbr\u003e Transformations.\u003cbr\u003e \u003cbr\u003e Linear Correlation and Regression.\u003cbr\u003e \u003cbr\u003e Curvilinear Relations.\u003cbr\u003e \u003cbr\u003e Shortcut Regression Methods for Equally Spaced Observations orTreatments.\u003cbr\u003e \u003cbr\u003e Correlation and Regression for More Than Two Variables.\u003cbr\u003e \u003cbr\u003e Analysis of Counts.\u003cbr\u003e \u003cbr\u003e Improving Precision.\u003cbr\u003e \u003cbr\u003e Planned Grouping of Experimental Units--Design.\u003cbr\u003e \u003cbr\u003e Appendix.\u003cbr\u003e \u003cbr\u003e Index.  \u003cp\u003eThomas M. Little and F. Jackson Hills are the authors of Agricultural Experimentation: Design and Analysis, published by Wiley.  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.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47988707492069,"sku":"NP9780471023524","price":193.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780471023524.jpg?v=1761781271","url":"https:\/\/k12savings.com\/es\/products\/agricultural-experimentation-isbn-9780471023524","provider":"K12savings","version":"1.0","type":"link"}