Introductory Probability and Statistics : Applications for Forestry and Natural Sciences

by A. Kozak; R. Kozak; C. Staudhammer; S. Watts

• ISBN13: 9781845932756
• ISBN10: 1845932757
• Format: Hardcover
• Copyright: 2008-08-15
• Publisher: Oxford University Press, USA
• More Book Details

Summary

With interest growing in areas of forestry, conservation and other natural sciences, the need to organize and tabulate large amounts of forestry and natural science information has become a necessary skill. Previous attempts of applying statistical methods to these areas tend to be over-specialized and of limited use; an elementary text using methods, examples and exercise that are relevant to forestry and the natural sciences is long overdue. This book utilities basic descriptive statistics and probability, as well as commonly used statistical inferential tools to introduce topics that are common place in a forestry context such as hypothesis texting, design of experiments, sampling methods, nonparametric tests and statistical quality control. It also contains examples and exercise drawn from the fields of forestry, wood science, and conservation.

Table of Contents

Statistics and Data: What do Numbers have to do with Trees

Descriptive Statistics: Making Sense of Data

Probability: The Foundation of Statistics

Random Varialbes and Probability Distributions: Outcomes of Random Experiments

Some Discrete Probability Distributions: Outcomes of Random Experiments

Continuous Distributions and the Normal Distribution: Describing Data that is Measured

Sampling Distributinos: The Foundation of Inference

Estimation: Determining the Value of Population Parameters

Test of Hypothese: Making Claims about Population Parameters

Goodness-of-Fit and Tests for Independence: Testing Distribution

Regression and Correlation: Relationships Between Variables

Analysis of Variance: Testing Differences between Several Means

Sampling Methods and Design of Experiments: Collecting Data

Nonparametric Tests: Testing when Distributions are Unknown

Quality Control: Statistics for Production and Processing

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