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

Associate Professor Edward Durner author

Format:Hardback

Publisher:CABI Publishing

Published:10th Jun '21

Currently unavailable, and unfortunately no date known when it will be back

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

Graduate students, undergraduate students, plant science research scientists. Also agricultural agents, extension researchers, faculty and technicians.

Presenting the most frequently used statistical methods for plant science in a non-intimidating fashion and teaching the appropriate use of SAS® within the context of plant science research, this book includes numerous examples and is a key resource for students and scientists undertaking statistical analysis and experimental design.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.

ISBN: 9781789249927

Dimensions: 246mm x 189mm x 27mm

Weight: 1287g

416 pages