Statistical Methods for Agricultural Sciences [Paperback]

The book Statistical Methods for Agricultural Sciences is primarily written for undergraduates in the agricultural sciences. Over the years of teaching, other instructors and I have been using texts that were primarily aimed at students of economics and business. This book has a number of features which are intended to enhance both interest in and mastery of agricultural statistics. First, emphasis is placed on the practical application of statistics. Theoretical background is included to enable better understanding and application. The text gives examples from all areas of agriculture to show the relevance of statistical techniques to our field. Second, each chapter begins with a set of learning objectives which orients the student to the learning criteria of that specific chapter. Third, the chapters are organised into various subsections, each subsection representing a unit of mastery based on incremental learning. It is a first introductory text to present statistical concepts through practical applications in all areas of agriculture. In the Appendix a number of statistical tables are provided which are reprinted from other works. The mathematical derivations of these tables are beyond the scope of this text. Each chapter described in detail to grasp the concept easily. Relevant examples included to make the theoretical background more easily understood. Learning objectives and summaries for each topics covered will aid the student in mastering agricultural statistics. The text's simple, non-mathematical language requires only familiarity with elementary algebra and mathematical notations.

Part        1

DESCRIPTIVE STATISTICS IN AGRICULTRE

Chapter   1.    Intorduntion

Chapter   2.    Descriptive Statistical Measures

Part        2

INFERENTIAL STATISTICS IN AGRICULTURE

Chapter   3.    Probability Theory

Chapter   4.    An Introduction to Sampling Concepts

Chapter   5.    Estimation of Parameters: Means and Percentages

Part        3

TESTS OF COMPARISON: PARAMETRIC METHODS

Chapter   6.    Hypothesis Testing : One-Sample

Chapter   7.    Hypothesis Testing Two-Sample

Chapter   8.    Analysis of Variance

Part        4

NONPARAMETRIC METHODS

Chapter   9.    Chi-Square Analysis

Chapter   10.   Additional Nonparametric Methods

Part        5

TEST OF ASSOCIATION AND PREDICTION

Chapter   11.   Simple Linear Regression and Correlation

Chapter   12.   Multiple Regression

Part        6

ANALYSIS OF CHANGE OVER TIME

Chapter   13.   Time Series Analysis

Chapter   14.   Index Numbers