Essentials of Statistics In Agricultural Sciences

This book covers the basics of statistical tools, design of experiments, sampling techniques, time series, inference outlines, forecasting models, data handling, and statistical software, aimed at students and researchers with little or no mathematical background. It discusses statistical theories with examples from real-life situations and provides worked-out examples and problems. It also introduces statistical software such as MS Excel, SAS, JMP, Minitab, and R.

Format: Hardback
Length: 526 pages
Publication date: 07 August 2019
Publisher: Apple Academic Press Inc.

Understanding the fundamentals, logic, and theory of statistics is crucial for agricultural researchers when dealing with data interpretation. This comprehensive volume offers a foundational understanding of statistical tools, particularly as they apply to the statistics of agriculture and related fields. It covers essential topics such as basic statistics, design of experiments, sampling techniques, time series analysis, inference outlines, forecasting models, data handling, and statistical software, presented in a user-friendly manner suitable for students and researchers with limited mathematical background.

In the realm of agriculture, students and researchers encounter challenges that can be addressed through the application of statistical tools. This includes experimental planning, data collection, analysis, interpretation, and more. This book aims to provide a comprehensive exploration of statistical theories, accompanied by real-life examples from the agriculture and allied fields. Each chapter is followed by a series of problems and questions designed to build readers' confidence in solving these challenges. Additionally, the volume offers an insightful analysis of the importance of data and introduces the reader to popular statistical software applications such as MS Excel, SAS (Statistical Analysis System), JMP, Minitab, and R (from the R Foundation for Statistical Computing).

By grasping the concepts and techniques outlined in this book, agricultural researchers will gain the necessary skills to effectively handle and analyze data, leading to informed decision-making and advancements in the field.

Weight: 1062g
Dimension: 241 x 162 x 32 (mm)
ISBN-13: 9781771887526