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Introductory Probability and Statistics (Applications for Forestry and Natural Sciences (Revised Edition))
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$72.75
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Product Details
Author:
Robert Kozak, Antal Kozak, Christina Staudhammer, Susan Watts
Format:
Paperback
Pages:
448
Publisher:
CAB International (September 23, 2019)
Imprint:
CAB International
Language:
English
Audience:
Professional and scholarly
ISBN-13:
9781789243307
ISBN-10:
1789243300
Weight:
42.24oz
Dimensions:
7.44" x 9.69"
File:
TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20250917125829-20250918.xml
Folder:
TWO RIVERS
List Price:
$72.75
Country of Origin:
United Kingdom
Case Pack:
20
As low as:
$56.02
Publisher Identifier:
P-PER
Discount Code:
A
Pub Discount:
65
Overview
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 analysing large amounts of data are becoming commonplace. This 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. - Specifically written and designed to teach statistics and probability to students of forestry and related disciplines in the natural sciences - 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








