The book shows the relevance of statistical techniques in the fields of agronomy, animal science, plant science,
horticulture, agricultural engineering, agricultural business and economics, and environmental sciences
Learning objectives for each chapter enable readers to evaluate their understanding of the materials
Chapters are organized into subsections, which allow the reader to absorb the units incrementally
Summaries and review questions at the end of each chapter aid in comprehension and self-testing
Glossary of notations and symbols that are used throughout the text
Case studies that reflect real-world events and happenings
The first edition of this book, popular around the world, is surpassed only by this new Second Edition. Improvements
such as new and revised exercises, a broad range of practical and relevant case studies, and expanded theoretical
concepts make this even better for users of statistics. The book emphasizes the practical application of statistics
and provides examples in various fields of environmental and agriculture sciences. Because it uses simple, non-mathematical
language to present statistical techniques, the reader requires only a familiarity with elementary algebra and
mathematical notations to understand and apply the concepts described.
This logically organized book covers the following topics: Part 1 introduces statistical concepts as they apply
to different fields of environmental and agriculture sciences and provides descriptive measures of central tendency
and variability; Part 2 covers probability and sampling concepts used in inferential statistics; Part 3 presents
parametric methods in hypothesis testing, which include research designs; Part 4 discusses a number of nonparametric
techniques; Part 5 explains tests of association and prediction; and lastly, analysis of change over time is detailed
in Part 6. The appendices contain statistical tables for reference purposes.