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"Is an introductory text that will be very useful for planning and analysing zoo–based research because, like field studies, these zoo–research peculiarities consist of conditions [more difficult] than the lab–environment of typical statisticians. The book is easily understandable also for people with only moderate mathematical background.", , , Research Group Newsletter#
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Product Description
Provides an excellent introductory text for students on the principles and methods of statistical analysis in the life sciences, helping them choose and analyse statistical tests for their own problems and present their findings.
An understanding of statistical principles and methods is essential for any scientist but is particularly important for those in the life sciences. The field biologist faces very particular problems and challenges with statistics as "real–life" situations such as collecting insects with a sweep net or counting seagulls on a cliff face can hardly be expected to be as reliable or controllable as a laboratory–based experiment. Acknowledging the peculiarites of field–based data and its interpretation, this book provides a superb introduction to statistical analysis helping students relate to their particular and often diverse data with confidence and ease.
To enhance the usefulness of this book, the new edition incorporates the more advanced method of multivariate analysis, introducing the nature of multivariate problems and describing the the techniques of principal components analysis, cluster analysis and discriminant analysis which are all applied to biological examples. An appendix detailing the statistical computing packages available has also been included.
It will be extremely useful to undergraduates studying ecology, biology, and earth and environmental sciences and of interest to postgraduates who are not familiar with the application of multiavirate techniques and practising field biologists working in these areas.
An understanding of statistical principles and methods is essential for any scientist but is particularly important for those in the life sciences. The field biologist faces very particular problems and challenges with statistics as "real–life" situations such as collecting insects with a sweep net or counting seagulls on a cliff face can hardly be expected to be as reliable or controllable as a laboratory–based experiment. Acknowledging the peculiarites of field–based data and its interpretation, this book provides a superb introduction to statistical analysis helping students relate to their particular and often diverse data with confidence and ease.
To enhance the usefulness of this book, the new edition incorporates the more advanced method of multivariate analysis, introducing the nature of multivariate problems and describing the the techniques of principal components analysis, cluster analysis and discriminant analysis which are all applied to biological examples. An appendix detailing the statistical computing packages available has also been included.
It will be extremely useful to undergraduates studying ecology, biology, and earth and environmental sciences and of interest to postgraduates who are not familiar with the application of multiavirate techniques and practising field biologists working in these areas.
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First Sentence
Biologist are familiar with the term population as meaning all the individuals of a species that interact with one another to maintain a homogeneous gene pool. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
Biologist are familiar with the term population as meaning all the individuals of a species that interact with one another to maintain a homogeneous gene pool. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Most Helpful Customer Reviews
18 of 18 people found the following review helpful
Format:Paperback
I currently am doing a degree in Zoology at university and decided upon purchasing this book for my course. It easily summarises all aspects of statistics which cover and surpass the requirements of the statistics involved in Biology data collection. Every aspect is easily laid out with a formula, an explanation of the parts of the formula and how and when you use that formula in Field Biology. The appendices at the back cover in detail, any tables for formulae throughout the book. Any statistics is easy in Biology with "Practical Statistics for Field Biology", nothing is left for you to question. Everything is explained in enough detail for anyone with any amount of previous mathematical knowledge. A must buy if you rely on statistics in Biology!
2 of 2 people found the following review helpful
Format:Paperback
I'm not the kind of person who 'gets' statistics. That's why I found this book to be of great use to me when time was running out to complete my thesis. It explains how statistical analysis methods work in Layman's terms much better than the other books on the subject. It tells you WHY you should choose a certain test and it's pros and cons of each test in a clear way.
It doesn't explain how to implement the tests with statistical software packages, though. For that, you'd be better off with Calvin Dytham's "Choosing & Using Statistics: A Biologists Guide." I found that by using both books together, i.e. Fowler et al. for an understanding of each test, Dytham for how to conduct my test on my computer - gave me greater understanding of what I was doing.
Glad I bought it, I suggest you do the same.
It doesn't explain how to implement the tests with statistical software packages, though. For that, you'd be better off with Calvin Dytham's "Choosing & Using Statistics: A Biologists Guide." I found that by using both books together, i.e. Fowler et al. for an understanding of each test, Dytham for how to conduct my test on my computer - gave me greater understanding of what I was doing.
Glad I bought it, I suggest you do the same.
1 of 1 people found the following review helpful
Format:Paperback
this book is really helpful with worked examples that you can follow, great for revision (or even just vision... as was unfortunately my case before my recent exam!)and everything is explained in simple terms which i found easy to understand and follow.
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Most Recent Customer Reviews
Poor print quality
As other reviewers have said, the content is great and it's a very useful book for non-maths specialists studying any branch of biology (but especially field and experimental... Read more
Published 4 months ago by Reader
Look after this book carefully!
I first used this book as an undergraduate in 2003. A PhD and two post doc posts later I still find myself referring to it when dealing with less familiar methods. Read more
Published 14 months ago by David Sewell
Very understandable
great book for those of us who seem to be useless at stats. very good step by step explanations. also good for understanding output from programs like spss!
Published 14 months ago by Kiki Vet
Excellent
Really good book explains statistics really well. By no means easy going but much better than many other stats books I have looked at.
Published on 11 May 2010 by Amy Robinson
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