This is a user-friendly guide to statistics using SAS(R) 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(R) 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, and examines key topics such as merging data frames, multivariate analysis and linear regression.