Handbook of Statistics for Teaching and Research in Plant and Crop Science 1st Edition

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The 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 who can be fifficult 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.

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s Usha Palaniswamy, holds a joint appointment in the School of Allied Health and the Asian American Studies Institute. Her major publications include over forty peer-reviewed journal articles, several book chapters, the monthly newsletter Pursland,and the book A Guide to Medicinal Plants of Asian Origin and Culture. She is the lead Editor of Acta Horticultura: Traditional Medicine and Nutraceuticals. Dr. Palaniswamy's current research focuses on Asian traditional medical systems, Asian medicinal plants, human issues in horticulture, the design of health education programs for ethnic monority gourps, and phytochemicals that promote human health and prevent diseases. K M Palaniswamy, taught statistical methods, design of experiments, agricultural statistics, smapling techniques, quality control, and biostatistics at both undergraduate and graduate levels for thirty years, as well as serving as faculty and Head of the department of Physical Sciences at Tamil Nadu Agricultural University, India, for over twenty five years. He has extensive consultancy experience in applied statistics, including appointments as UN Expert in Agricultural statistics, Baghdad, and UN Consultant in Agricultural Statistics at Makerere Univeristy, Uganda. Dr. Palaniswamy has published over seventy research articles. He held the position of Research Scholar at the International Researh Institute in the Philippines and earned his MS (experimental statistics) degree at the University of the Philippines. He was also Senior Biostatistician and Head of the Epidemiology Division at the Regional Cancer Research Institute and Hospital in Madras, India, in the Cancer Registry Scheme of the Indian Council of Medical Research, New Delhi.

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PART I: STATISTICAL METHODS, Tabels, Graphs and Diagrams Review of Basic Mathematical Concepts Fundamental to Statistics Nature of Statistical Data Measures of Central Tendency Measures of Dispersion Normal Distribution Probability Set Theory Special Techniques in Descriptive Statistics Population, Sample, and Statistical Inference Hypothesis and Test of Significance Correlation Regression Chi Square Test of Significance PART II: EXPERIMENTAL DESIGN, Experimental Design Analysis of Variance Principles of Experimental Design Completely Randomized Design Randomized Complete Block Design Group Comparisons Multiple Comparison Procedures Latin Square Design Factorial Experiments Split Plot Design Split Block (Strip Plot) Completely Confounded Design Analysis of Covariance Transformation of Experimental Data Quality Control