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, analyzing and interpreting research can be overwhelming. SAS(R) is the most widely used statistical software in the world and SAS(R) OnDemand for Academics is now freely available for academic institutions. This user-friendly guide to statistics using SAS(R) OnDemand for Academics is 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(R) within the context of plant science research. This book: Covers experimental designs and data analysis protocolsIs presented as a how-to guide with many examplesIncludes freely downloadable data setsExamines key topics such as merging data frames, multivariate analysis and linear regressionAuthored 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.