2011. 3rd Edition. Paperback. The third edition of this popular text is ideal for anyone who wants to process data using a statistical package on the computer, to select appropriate methods, and extract the important information from the often confusing output. The text covers how these tests work, and how to perform the calculations involved. Num Pages: 320 pages, black & white tables, figures. BIC Classification: PBT; PS. Category: (P) Professional & Vocational. Dimension: 247 x 172 x 17. Weight in Grams: 626. . . . . .

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Detalles bibliogr�ficos

T�tulo: Choosing and Using Statistics: A Biologist?s Guide
Editor: John Wiley and Sons Ltd
Fecha de publicaci�n: 2010
Idioma: Ingl�s
ISBN 10: 1405198397
ISBN 13: 9781405198394
Encuadernaci�n: Encuadernaci�n de tapa blanda
Edici�n: 3� Edici�n
Estado: New

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Sinopsis

Choosing and Using Statistics remains an invaluable guide for students using a computer package to analyse data from research projects and practical class work. The text takes a pragmatic approach to statistics with a strong focus on what is actually needed. There are chapters giving useful advice on the basics of statistics and guidance on the presentation of data. The book is built around a key to selecting the correct statistical test and then gives clear guidance on how to carry out the test and interpret the output from four commonly used computer packages: SPSS, Minitab, Excel, and (new to this edition) the free program, R. Only the basics of formal statistics are described and the emphasis is on jargon-free English but any unfamiliar words can be looked up in the extensive glossary. This new 3^rd edition of Choosing and Using Statistics is a must for all students who use a computer package to apply statistics in practical and project work.

Features new to this edition:

Now features information on using the popular free program, R
Uses a simple key and flow chart to help you choose the right statistical test
Aimed at students using statistics for projects and in practical classes
Includes an extensive glossary and key to symbols to explain any statistical jargon
No previous knowledge of statistics is assumed

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Calvin Dytham has a wide range of research interests in ecology and evolutionary biology and is especially interested in the impacts of dispersal and the arrangement of individuals in space on ecological and evolutionary processes. He is a Reader in the Department of Biology at the University of York, UK, and has been teaching statistics to undergraduate and postgraduate students since 1994.

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