Product Description

Featuring worked examples covering a wide range o of environmental topics, drawings and icons, chapter summaries, a glossary of statistical terms and a further reading section, this book provides an invaluable student friendly introduction.

Product Details

• Amazon Sales Rank: #177360 in Books
• Published on: 2000-04-06
• Original language: English
• Number of items: 1
• Binding: Paperback
• 272 pages

Review
'Learning statistics appeals to few undergraduates, but this carfully planned book will help to make the task as painless as possible.  Wheater and Cook have written a statistics textbook that is accessible both conceptually and mathematically Using Statistics to Understand the Environment will help students to overcome any mathematical qualms they may have, and encourage them to design effective and interesting research projects.' -  Holocene Book Reviews

From the Back Cover
Introductory courses to statistics are the bane of many students early academic lives. Yet the concepts and techniques involved are crucial for understanding the systems under examination. This is particularly true for environmental investigations, which cover a broad range of disciplines: from social science to pollution studies and from environmental management to ecology. Since these systems are complex, statistical methods are important techniques in the interpretation of project results.
Statistics for Environmental Investigations covers all the basic tests required for environmental practicals and projects, and points the way to the more advanced techniques needed in more complex research designs. Following an introduction to project design, the book covers methods to describe data, to examine differences between samples, and to identify relationships and associations between variables.
Featuring: worked examples covering a wide range of environmental topics, drawings and icons, chapter sum

Customer Reviews

A life saver! - for everyone who finds stats bewildering !
Thoughtful and well set out, it uses logical case studies to illustrate the statistical methods it discusses.
With a refreshingly 'real world' approach to environmental/ecological statistics, it provides excellent depth on their theoretical and practical applications.
If you have ever found statistics confusing (I know I have!) this book may help.