All students, practitioners and researchers in forestry and related disciplines need a good grounding in statistics and probability. This need is increasing as techniques for gathering and analyzing large amounts of data are becoming commonplace.

This special revised edition of this unique textbook is specifically designed for statistics and probability courses taught to students of forestry and related disciplines. It introduces probability, statistical techniques, data analysis, hypothesis testing, experimental design, sampling methods, nonparametric tests and statistical quality control, using examples drawn from a forestry, wood science and conservation context. The book now includes several new practical exercises for students to practice data analysis and experimental design themselves. It has been updated throughout, and its scope has been broadened to reflect the evolving and dynamic nature of forestry, bringing in examples from conservation science, recreation and urban forestry.

Key Points:

• Specifically written and designed to teach statistics and probability to students of forestry and related disciplines
• This revised edition has been broadened to reflect the dynamism of modern forestry
• Chapters in this revised edition include new practical exercises allowing students to practice data analysis and experimental design.

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Robert A. Kozak is at The University of British Columbia, Canada.

Susan B. Watts is at The University of British Columbia, Canada.

Christina L. Staudhammer is at University of Alabama.

Antal Kozak is at The University of British Columbia, Canada.