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Applied Plant Science Experimental Design and Statistical Analysis Using SAS® OnDemand for Academics

Applied Plant Science Experimental Design and Statistical Analysis Using SAS® OnDemand for Academics

          
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About the Book

The correct design, analysis and interpretation of plant science experiments is imperative for continued improvements in agricultural production worldwide. The enormous number of design and analysis options available for correctly implementing, analysing and interpreting research can be overwhelming. SAS® is the most widely used statistical software in the world and SAS® OnDemand for Academics is now freely available for academic institutions. This is a user-friendly guide to statistics using SAS® OnDemand for Academics, ideal for facilitating the design and analysis of plant science experiments. It presents the most frequently used statistical methods in an easy-to-follow and non-intimidating fashion, and teaches the appropriate use of SAS® within the context of plant science research. This book: - Covers experimental designs and data analysis protocols - Is presented as a how-to guide with many examples - Includes freely downloadable data sets - Examines key topics such as merging data frames, multivariate analysis and linear regression Authored by an experienced teacher of applied plant science statistics, this book assumes no prior background in statistics and guides users through the appropriate methodologies in research. It is an invaluable tool for advanced undergraduate and graduate students, in addition to researchers, extension consultants, faculty and technicians.

Table of Contents:
1: Introduction to Plant Science Research and Experimentation 2: An Introduction to SAS® OnDemand for Academics 3: A Review of Basic Statistics and Terms 4: Plant Science Research and Some Basic Experimental Design Principles 5: Variation and the Analysis of Variance (ANOVA) 6: The Completely Random Design 7: Factorials 8: Contrasts 9: Linear Regression 10: Regression Diagnostics 11: Mean Separation Techniques 12: The Randomized Complete Block Design 13: The Latin Square Design 14: The Split-plot Design and variations (split-split, split-block, strip-plot) 15: Experiments in a Series 16: Expected Mean Squares 17: Analysis of Covariance 18: Non-Parametric Procedures 19: Sampling 20: When Data Doesn’t Behave – Problem Data 21: Presentation of Research Results


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Product Details
  • ISBN-13: 9781789246001
  • Publisher: CABI Publishing
  • Publisher Imprint: CABI Publishing
  • Language: English
  • ISBN-10: 1789246008
  • Publisher Date: 19 May 2021
  • Binding: Digital (delivered electronically)


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