TUM Library

"This book, Essentials of Statistics in Agriculture Sciences, is an introductory text presenting some of the basic concepts of statistical tools, specifically as applied to the statistics of agriculture and allied fields. An understanding of the basics, logic, and theory of statistics is very essential for agricultural researchers for dealing with the interpretation of data. This volume covers basic statistics, design of experiments, concepts of sampling techniques, time series, inference outlines, and other topics in an easy-to-understand manner and is aimed at students and researchers with little or no mathematical background. In the agriculture scenario, students and researchers face problems with statistical tools, planning of field experiments, collection of data, analysis, interpretation of the data, etc. In this book, statistical theories are discussed with the help of examples from real-life situations in agriculture and allied fields, followed by worked-out examples. Each chapter is followed by a number of problems and questions that will help readers gain confidence in solving those problems. The volume also provides an analysis of how data is important and introduces the reader to capturing statistical software like MS Excel, SAS (Statistical Analysis System), JMP, Minitab, and R (from the R Foundation for Statistical Computing). The book will be helpful in concept building and exposition of statistical techniques for agriculture students as well as researchers. This book will be valuable for experimental scientists, particularly in the biological fields, as many of them generally don't have much knowledge in the theoretical aspects of statistics. It will help readers to understand the basics of statistics, rules for design of experiments, sampling techniques, forecasting models, data handling, and statistical software."-- Provided by publisher.

OCLC-licensed vendor bibliographic record.