Applied Statistics in Agricultural, Biological, and Environmental Sciences [Hardcover]

Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference between discovering and missing crucial results and conclusions in your research, and can shape the course of your entire research career. With Applied Statistics, Barry Glaz and Kathleen M. Yeater have worked with a team of expert authors to create a comprehensive text for graduate students and practicing scientists in the agricultural, biological, and environmental sciences. The contributors cover fundamental concepts and methodologies of experimental design and analysis, and also delve into advanced statistical topics, all explored by analyzing real agronomic data with practical and creative approaches using available software tools. IN PRESS! This book is being published according to the Just Published model, with more chapters to be published online as they are completed.Foreword vii

Introduction ix

Acknowledgments xi

A Statistical Fable. The Story of a Grumpy Ox
Barry Glaz xiii

CHapter 1. Errors in Statistical Decision-Making
Kimberly Garland-Campbell 1

CHapter 2. Analysis of Variance and Hypothesis Testing
Marla S. McIntosh 19

Chapter 3. Blocking Principles for Biological Experiments
Michael D. Casler 53

Chapter 4. Power and ReplicationDesigning Powerful Experiments
Michael D. Casler 73

Chapter 5. Multiple Comparison Procedures: The Ins and Outs
David J. Saville 85

Chapter 6. Linear Regression Techniques
Christel Richter and Hans-Peter Piepho 107

Chapter 7. Analysis and Interpretation of Interactions of Fixedló"