{"product_id":"handbook-of-statistics-for-teaching-and-research-in-plant-and-crop-science-paperback-softback","title":"Handbook of Statistics for Teaching and Research in Plant and Crop Science - Paperback \/ softback","description":"\u003cp\u003eMore than a textbookit’s also a valuable reference book for researchers and crop science professionals!\u003cbr\u003e\u003cbr\u003eThe Handbook of Statistics for Teaching and Research in Plant and Crop Science presents the fundamental concepts of important statistical methods and experimental designs to the students and researchers who need to apply them to their own specific problems. This comprehensive handbook takes what can be the difficult and confusing topics of statistics and experimental design and explains them in easily understandable terms, making them accessible to nearly every reader. More than a student textbook, it is an essential reference for researchers and professionals in a multitude of fields.\u003cbr\u003e\u003cbr\u003eDesigned as a two-semester statistical textbook, the first section of the Handbook of Statistics for Teaching and Research in Plant and Crop Science focuses on statistical concepts, providing a foundation of useful knowledge on which you can base your own research. The second section concentrates on experimental designs in plant and crop sciences. The material is presented in a way that helps readers with a minimum of mathematical background to understand important theories and concepts. Derivations of formulas are avoided, and mathematical symbols are used only when essential. To illustrate the computational procedures, data is drawn from actual experiments. At the end of each chapter, examples and exercises are given to provide clear insight into real-life problems. A comprehensive appendix of clearly presented statistical tables is included.\u003cbr\u003e\u003cbr\u003ePart One of Handbook of Statistics for Teaching and Research in Plant and Crop Science focuses on statistical methods, principles, and procedures, exploring:\u003c\/p\u003e\u003cul\u003e \u003cli\u003e methods of display of statistical information, such as tables, diagrams, graphs, etc.\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e symbols and their use in denoting variables\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e descriptions of types of statistical data\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e methods of computation from raw and graphed data\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e the importance of studying variables and dispersion in research\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e the use of normal probability integral tables and their application to practical problems\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e descriptions of different types of experiments, such as determinate and nondeterminate\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e the significance of expected value in research\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e special techniques in descriptive statistics\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e explanations of population, sample, and statistical inference\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e the significance of null hypothesis in research\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e methods of correlation studies\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e assumptions and principles in regression analysis\u003cbr\u003e\u003cbr\u003ePart Two concentrates on experimental design, principles and procedures, exploring:\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e basic principles of experimental design\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e the fundamental concepts of linear models and analysis of variance\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e method and layout of Completely Randomized Design (CRD)\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e the advantages and disadvantages of Randomized Complete Block Design (RCBD) \u003cbr\u003e \u003c\/li\u003e \u003cli\u003e methods and procedures for comparison of several treatment means\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e the important features of Latin Square Design\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e factorial experiments\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e split plot design\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e completely confounded design\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e analysis of covariance\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e the Chi Square Test of Significance\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e the transformation of experimental data\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e quality control\u003cbr\u003e \u003c\/li\u003e \u003cli\u003e and so much more!\u003cbr\u003e\u003cbr\u003e \u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eThe Handbook of Statistics for Teaching and Research in Plant and Crop Science serves not only as a textbook for instructors and students in experimental design and statistics but also as a reference book on plant and crop sciences for professionals and researchers. The comprehensive text is also useful for professionals in other statistic-heavy fields.\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":45575892893934,"sku":"9781560222934","price":184.8,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0630\/9612\/7726\/files\/9781560222934.jpg?v=1720960812","url":"https:\/\/bookland.com.au\/products\/handbook-of-statistics-for-teaching-and-research-in-plant-and-crop-science-paperback-softback","provider":"Book Land AU","version":"1.0","type":"link"}