Essentials of Statistics In Agricultural Sciences
eBook - ePub

Essentials of Statistics In Agricultural Sciences

  1. 526 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Essentials of Statistics In Agricultural Sciences

About this book

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).

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Yes, you can access Essentials of Statistics In Agricultural Sciences by Pradeep Mishra, Fozia Homa, Pradeep Mishra,Fozia Homa in PDF and/or ePUB format, as well as other popular books in Business & Agribusiness. We have over one million books available in our catalogue for you to explore.

Information

Edition
1
Subtopic
Agribusiness

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. About the Editors
  6. Table of Contents
  7. Contributors
  8. Abbreviations
  9. Preface
  10. Acknowledgments
  11. 1. The Basics of Statistics
  12. 2. Design of Experiments
  13. 3. The Axioms of Statistical Inference: Estimation and Hypothesis Testing
  14. 4. Assessment of Sampling Techniques: Theory and Application
  15. 5. Time Series
  16. 6. Overview of MS Excel, SPSS, Minitab, and R
  17. 7. Overview of JMP and SAS
  18. Index