Description

Book Synopsis
The Book is an introductory text, presenting some of the basic concepts and techniques of Statistical inference. It has been written primarily to suit the students and research workers in the area of agricultural science. An understanding of the logic and theory of statistics is essential for the students of agriculture who are expected to know the techniques of analysing data and drawing useful conclusions. It has been the intention of the authors to keep the book at a readability level appropriate for students who do not have a mathematical background. This book can serve as comprehensive reference source of statistical techniques helpful to agricultural research workers in the interpretation of data.

Table of Contents
01. Introduction 02. Classification, Tabulation and Graphical Representation 03. Measures of Central Values 04. Measures of Dispersion 05. Probability 06. Probability Distributions 07. Sampling and Sampling Distributions 08. Test of Significance 09. Chi-Square and Association of Attributes 10. Correlation and Regression 11. Analysis of Variance 12. Design of Experiments 13. Multiple Comparison Tests 14. Factorial Experiments 15. Split Plot Design

Applied Statistics for Agricultural Sciences

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    Order before 4pm today for delivery by Sat 20 Jun 2026.

    A Hardback by D. Venkatesan


      View other formats and editions of Applied Statistics for Agricultural Sciences by D. Venkatesan

      Publisher: New India Publishing Agency
      Publication Date: 11/05/2014
      ISBN13: 9789383305285, 978-9383305285
      ISBN10: 9383305282

      Description

      Book Synopsis
      The Book is an introductory text, presenting some of the basic concepts and techniques of Statistical inference. It has been written primarily to suit the students and research workers in the area of agricultural science. An understanding of the logic and theory of statistics is essential for the students of agriculture who are expected to know the techniques of analysing data and drawing useful conclusions. It has been the intention of the authors to keep the book at a readability level appropriate for students who do not have a mathematical background. This book can serve as comprehensive reference source of statistical techniques helpful to agricultural research workers in the interpretation of data.

      Table of Contents
      01. Introduction 02. Classification, Tabulation and Graphical Representation 03. Measures of Central Values 04. Measures of Dispersion 05. Probability 06. Probability Distributions 07. Sampling and Sampling Distributions 08. Test of Significance 09. Chi-Square and Association of Attributes 10. Correlation and Regression 11. Analysis of Variance 12. Design of Experiments 13. Multiple Comparison Tests 14. Factorial Experiments 15. Split Plot Design

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