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Practical Statistics for Environmental and Biological Scientists
Practical Statistics for Environmental and Biological Scientists
Author: Townend, John
Edition/Copyright: 2002
ISBN: 0-471-49665-0
Publisher: John Wiley & Sons, Inc.
Type: Print On Demand
New Print:  $72.95
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Review
Summary
Table of Contents
 
  Review

"...covers the basics of designing an experiment/survey, data analysis and presentation, and specific methods."

--SciTech Book News, Vol. 26, No. 2, June 2002

"...a good and clear exposition of basic statistical techniques..."

--Biometrics, December 2002

"&This no-nonsense approach to elementary statistics should get you or your student started&"

--European Journal of Soil Science, March 2003


Submitted by Publisher, August, 2003

 
  Summary

All students and researchers in environmental and biological sciences require statistical methods at some stage of their work. Many have a preconception that statistics are difficult and unpleasant and find that the textbooks available are difficult to understand.
Practical Statistics for Environmental and Biological Scientists provides a concise, user-friendly, non-technical introduction to statistics. The book covers planning and designing an experiment, how to analyse and present data, and the limitations and assumptions of each statistical method. The text does not refer to a specific computer package but descriptions of how to carry out the tests and interpret the results are based on the approaches used by most of the commonly used packages, e.g. Excel, MINITAB and SPSS. Formulae are kept to a minimum and relevant examples are included throughout the text.

 
  Table of Contents

Preface


Part I STATISTICS BASICS

Introduction
A Brief Tutorial on Statistics
Before You Start
Designing an Experiment or Survey
Exploratory Data Analysis and Data Presentation
Common Assumptions or Requirements of Data for Statistical Tests

Part II STATISTICAL METHODS

t-tests and F-tests
Analysis of Variance
Correlation and Regression
Mulitvariate ANOVA
Repeated Measures
Chi-square Tests
Non-parametric Tests
Principal Component Analysis
Cluster Analysis
Appendices
Bibliography
Index

 

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