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Statistics for biologists / R.C. Campbell.

By: Material type: TextTextPublisher: Cambridge : Cambridge University Press, 1989Edition: Third editionDescription: 1 online resource (xviii, 446 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781139168076 (ebook)
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 519.5/024574 19
LOC classification:
  • QH323.5 .C35 1989
Online resources: Summary: This is the third edition of a successful textbook, now with material added to illustrate the potential of computers for biologists. It is a lucid introduction to the principles and more elementary techniques of statistical reasoning, particularly as they are relevant to the biologist. Special attention is paid to the validity and use of statistical procedures, the interpretation of results, and the meanings of the conclusions which can then be drawn. The understanding of statistical methods is aided by full explanations of how calculations are built up. A particular feature of this edition is the inclusion, of new material to demonstrate the potential usefulness of computers in biological statistical analysis and to this end computer analyses of a selection of the examples are presented, using several different statistical languages. The examples are designed to guide and encourage the biologist to pursue the use of these languages further. The book assumes no mathematical training and uses a minimum of jargon and symbolism. It will be useful to any biologist, student or research worker who needs an introduction to statistical procedures.
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Title from publisher's bibliographic system (viewed on 05 Oct 2015).

This is the third edition of a successful textbook, now with material added to illustrate the potential of computers for biologists. It is a lucid introduction to the principles and more elementary techniques of statistical reasoning, particularly as they are relevant to the biologist. Special attention is paid to the validity and use of statistical procedures, the interpretation of results, and the meanings of the conclusions which can then be drawn. The understanding of statistical methods is aided by full explanations of how calculations are built up. A particular feature of this edition is the inclusion, of new material to demonstrate the potential usefulness of computers in biological statistical analysis and to this end computer analyses of a selection of the examples are presented, using several different statistical languages. The examples are designed to guide and encourage the biologist to pursue the use of these languages further. The book assumes no mathematical training and uses a minimum of jargon and symbolism. It will be useful to any biologist, student or research worker who needs an introduction to statistical procedures.

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