All students in environmental and biological sciences require statistical methods at some stage of their work. This text provides a non-technical introduction to statistics, including: planning and designing an experiment, limitations, and how to analyze and present data.

All students and researchers in environmental and biological sciences require statistical methods at some stage of their work. This text provides a non-technical introduction to statistics. It 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, such as Excel, MINITAB and SPSS. Formulae are kept to a minimum and relevant examples are included in the text.

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
F-tests and t-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.