Apple Academic Press Essentials Of Statistics In Agricultural Sciences 09781774634448
ÂŁ82.99
Product Description
An understanding of the basics logic and theory of statistics is essential for agricultural researchers for dealing with the interpretation of data. This volume presents some of the basic and necessary concepts of statistical tools specifically as applied to the statistics of agriculture and allied fields. It covers basic statistics design of experiments sampling techniques time series inference outlines forecasting models data handling and statistical software in an easy-to-understand manner that is aimed at students and researchers with little or no mathematical background. In the agriculture scenario students and researchers face problems that can be addressed 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 using statistical software such as MS Excel SAS (Statistical Analysis System) JMP Minitab and R (from the R Foundation for Statistical Computing). | Essentials of Statistics In Agricultural Sciences
Apple Academic Press Essentials Of Statistics In Agricultural Sciences 09781774634448
An understanding of the basics logic and theory of statistics is essential for agricultural researchers for dealing with the interpretation of data. This volume presents some of the basic and necessary concepts of statistical tools specifically as applied to the statistics of agriculture and allied fields. It covers basic statistics design of experiments sampling techniques time series inference outlines forecasting models data handling and statistical software in an easy-to-understand manner that is aimed at students and researchers with little or no mathematical background. In the agriculture scenario students and researchers face problems that can be addressed 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 using statistical software such as MS Excel SAS (Statistical Analysis System) JMP Minitab and R (from the R Foundation for Statistical Computing). | Essentials of Statistics In Agricultural Sciences
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