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Introductory Probability and Statistics

  • Introductory Probability and Statistics

Introductory Probability and Statistics:

A Kozak, R Kozak, S Watts, C Staudhammer

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£65.00
Introductory Probability and Statistics:

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 exercises that are relevant to forestry and the natural sciences is long overdue. This book utilises basic descriptive statistics and probability, as well as commonly used statistical inferential tools to introduce topics that are commonplace in a forestry context such as hypothesis texting, design of experiments, sampling methods, nonparametric tests and statistical quality control. It also contains examples and exercises drawn from the fields of forestry, wood science, and conservation.

Readership

For undergraduate students studying forestry and natural sciences, practitioners and researchers.

Additional Information

Author A Kozak, R Kozak, S Watts, C Staudhammer
Availability In Print
Dimensions Unknown
Extent 448 Pages
ISBN 9781845932756
Publication date Jun-08
Book Type Hardcover

Contents

1. STATISTICS AND DATA: What do Numbers have to do with Trees?

2. DESCRIPTIVE STATISTICS: Making Sense of Data

3. PROBABILITY: The Foundation of Statistics

4. RANDOM VARIABLES AND PROBABILITY DISTRIBUTIONS: Outcomes of Random Experiments

5. SOME DISCRETE PROBABILITY DISTRIBUTIONS: Describing Data that is Counted

6. CONTINUOUS DISTRIBUTIONS AND THE NORMAL DISTRIBUTION: Describing Data that is Measured

7. SAMPLING DISTRIBUTIONS: The Foundation of Inference

8. ESTIMATION: Determining the Value of Population Parameters

9. TESTS OF HYPOTHESES: Making Claims about Population Parameters

10. GOODNESS-OF-FIT AND TEST FOR INDEPENDENCE: Testing Distributions

11. REGRESSION AND CORRELATION: Relationships between Variables

12. ANALYSIS OF VARIANCE: Testing Differences between Several Means

13. SAMPLING METHODS AND DESIGN OF EXPERIMENTS: Collecting Data

14. NONPARAMETRIC TESTS: Testing when Distributions are Unknown

15. QUALITY CONTROL: Statistics for Production and Processing

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