Practical Statistics for Field Biology
Matter-of-fact Statistics for Field Biology Books
Product Description
Provides an brilliant 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 bestow their findings.
An understanding of statistical principles and methods is essential for any scientist but is particularly vital for those in the life sicences. 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 helpful 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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this is an wonderful book.
Rating: 5 / 5
This book is an simple read. It goes over basic statistical practices in an simple to follow format.
Rating: 4 / 5
The required statistics class in the biology major at my university was confusing and practically useless. This book, which I bought a year or two afterwards, provided a nice review of the very basics.
The book moves slowly, and the in rank:examples ratio seems a small low at first; on the other hand, it’s excellent to see some of the actual math of what goes on behind a stats program and be reminded of fundamental concepts. Provides some nice suggestions on data transformation and other topics.
Not perfect, but simple to read, unintimidating, and well organized – a must-read for those who are absolutely confused by their current statistics training.
Rating: 4 / 5
I am a grad student working on the data analysis for my thesis and this book helped me enormously! The problem with other statistics books is that they give data sets and examples that don’t relate to types of data that field biologists half to deal with. My largest problem was figuring out what kind of statistical tests I needed to use for the kind of data that I had collected, and this book answered many of my questions in that area.
Rating: 5 / 5
This books is a handy small aide for basic statistics, especially if you don’t work on the topic on a day-by-day basis. Every approach is exemplified; the same examples are often used for different cases, making it clear how the various tests are connected. I highly urge this book.
Rating: 5 / 5