More than a textbook?it’s also a valuable reference book for researchers and crop science professionals!

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 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.

Designed 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.

Part One of Handbook of Statistics for Teaching and Research in Plant and Crop Science focuses on statistical methods, principles, and procedures, exploring:

• methods of display of statistical information, such as tables, diagrams, graphs, etc.
  
• symbols and their use in denoting variables
  
• descriptions of types of statistical data
  
• methods of computation from raw and graphed data
  
• the importance of studying variables and dispersion in research
  
• the use of normal probability integral tables and their application to practical problems
  
• descriptions of different types of experiments, such as determinate and nondeterminate
  
• the significance of expected value in research
  
• special techniques in descriptive statistics
  
• explanations of population, sample, and statistical inference
  
• the significance of null hypothesis in research
  
• methods of correlation studies
  
• assumptions and principles in regression analysis
  Part Two concentrates on experimental design, principles and procedures, exploring:
  
• basic principles of experimental design
  
• the fundamental concepts of linear models and analysis of variance
  
• method and layout of Completely Randomized Design (CRD)
  
• the advantages and disadvantages of Randomized Complete Block Design (RCBD)
  
• methods and procedures for comparison of several treatment means
  
• the important features of Latin Square Design
  
• factorial experiments
  
• split plot design
  
• completely confounded design
  
• analysis of covariance
  
• the Chi Square Test of Significance
  
• the transformation of experimental data
  
• quality control
  
• and so much more!