Agricultural Statistical Data Analysis Using Stata: 1st Edition (Paperback) book cover

Agricultural Statistical Data Analysis Using Stata

1st Edition

By George Boyhan

CRC Press

264 pages | 63 B/W Illus.

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Paperback: 9781466585850
pub: 2013-06-04
Currently out of stock
Hardback: 9781138401495
pub: 2017-07-27
eBook (VitalSource) : 9780429169236
pub: 2013-06-04
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Practical statistics is a powerful tool used frequently by agricultural researchers and graduate students involved in investigating experimental design and analysis. One of the most widely used statistical analysis software packages for this purpose is Stata. The Stata software program has matured into a user-friendly environment with a wide variety of statistical functions. Agricultural Statistical Data Analysis Using Stata introduces readers to the use of Stata to solve agricultural statistical problems.

The book begins with an overview of statistical software and the Stata program. It explains the various windows and menus and describes how they are integrated. The next chapters explore data entry and importing as well as basic output formats and descriptive statistics. The author describes the ever-increasing design complexity and how this is implemented in the software. He reviews one of Stata’s strongest features, which is its programming ability. He also examines post hoc tests as well as Stata’s graphing capabilities. The final chapters provide information on regression analysis, data transformations, and the analyses of non-parametric data.

Many agricultural researchers are unprepared for the statistics they will need to use in their profession. Written in an easy-to-read format with screen shots and illustrations, the book is suitable for a wide audience, including beginners in statistics who are new to Stata, as well as more advanced Stata users and those interested in more complex designs.

Table of Contents

General Statistical Packages Comparisons


Windows and Menus

What’s on the Menu?

Data Entry

Importing Data

Manipulating Data and Formats

Descriptive Statistics

Output Formats

Experimentation Ideas

Two Sample Tests


Output and Meaning

Variations of One Factor ANOVA Designs

Randomized Complete Block Design

Latin Square Designs

Balanced Incomplete Block Designs

Balanced Lattice Designs

Group Balanced Block Design


Two and More Factors ANOVA

Split-Plot Design

Split-Block Design

Evaluation over Years or Seasons

Three Factor Design

Split-Split Plot Design

Covariance Analysis

Programming Stata

Post Hoc Tests

Planned Comparisons

Built-in Multiple Range Tests

Programming Scheffé’s Test

Preparing Graphs

Graphing in Stata

Correlation and Regression


Linear Regression

Data Transformations

Binary, Ordinal, and Categorical Data Analysis




About the Author

George Boyhan, PhD, is a professor of horticulture and an extension vegetable specialist. He has worked for 15 years at the University of Georgia in this capacity and has conducted a wide variety of experiments requiring statistical analyses. Prior to this, he worked at Auburn University as a senior research associate, where he designed experiments, collected data, and analyzed results. Dr. Boyhan has worked with a wide variety of crops in his career. He currently studies the development of disease-resistant pumpkins, develops watermelon varieties for organic production, and evaluates sustainable production practices. Dr. Boyhan is an internationally recognized authority on vegetable production and has given presentations at a number of venues both in the United States and internationally. He has published two book chapters, over 40 referred publications, and many other publications on vegetable production and culture.

Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Probability & Statistics / General
NATURE / Ecology
SCIENCE / Life Sciences / Botany
SCIENCE / Life Sciences / General
TECHNOLOGY & ENGINEERING / Agriculture / General