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Practical Statistics for Environmental and Biological Scientists

ISBN-10: 0471496650
ISBN-13: 9780471496656
Edition: 2002
Authors: John Townend
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Description: Students of environmental and biological sciences require some knowledge of statistical methods. This text provides a basic introduction to statistics. It covers planning and designing experiments, limitations, and how to analyse and present data.

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Book details

List price: $65.95
Copyright year: 2002
Publisher: John Wiley & Sons, Incorporated
Publication date: 3/12/2002
Binding: Paperback
Pages: 288
Size: 6.50" wide x 9.25" long x 0.75" tall
Weight: 1.122
Language: English

Students of environmental and biological sciences require some knowledge of statistical methods. This text provides a basic introduction to statistics. It covers planning and designing experiments, limitations, and how to analyse and present data.

Preface
Statistics Basics
Introduction
Do you need statistics?
What is statistics?
Some important lessons I have learnt
Statistics is getting easier
Integrity in statistics
About this book
A Brief Tutorial on Statistics
Introduction
Variability
Samples and populations
Summary statistics
The basis of statistical tests
Limitations of statistical tests
Before You Start
Introduction
What statistical methods are available?
Surveys and experiments
Designing experiments and surveys - preliminaries
Summary
Designing an Experiment or Survey
Introduction
Sample size
Sampling
Experimental design
Further reading
Exploratory Data Analysis and Data Presentation
Introduction
Column graphs
Line graphs
Scatter graphs
General points about graphs
Tables
Standard errors and error bars
Common Assumptions or Requirements of Data for Statistical Tests
Introduction
Common assumptions
Transforming data
Statistical Methods
t-tests and F-tests
Introduction
Limitations and assumptions
t-tests
F-test
Further reading
Analysis of Variance
Introduction
Limitations and assumptions
One-way ANOVA
Multiway ANOVA
Further reading
Correlation and Regression
Introduction
Limitations and assumptions
Pearson's product moment correlation
Simple linear regression
Correlation or regression?
Multiple linear regression
Comparing two lines
Fitting curves
Further reading
Multivariate ANOVA
Introduction
Limitations and assumptions
Null hypothesis
Description of the test
Interpreting the results
Further reading
Repeated Measures
Introduction
Methods for analysing repeated measures data
Designing repeated measures experiments
Further reading
Chi-square Tests
Introduction
Limitations and assumptions
Goodness of fit test
Test for association between two factors
Comparing proportions
Further reading
Non-parametric Tests
Introduction
Limitations and assumptions
Mann-Whitney U-test
Two-sample Kolmogorov-Smirnov test
Two-sample sign test
Kruskal-Wallis test
Friedman's test
Spearman's rank correlation
Further reading
Principal Component Analysis
Introduction
Limitations and assumptions
Description of the method
Interpreting the results
Further reading
Cluster Analysis
Introduction
Limitations and assumptions
Clustering observations
Clustering variables
Further reading
Appendices
Calculations for statistical tests
Concentration data for Chapters 14 and 15
Using computer packages
Choosing a test: decision table
List of worked examples
Bibliography
Index

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