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  3. Statistics for Biologists
  • Cited by 93
      • 3rd edition
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    • Publisher:
      Cambridge University Press
      Publication date:
      05 June 2012
      11 May 1989
      ISBN:
      9781139168076
      9780521369329
      DOI:
      https://doi.org/10.1017/CBO9781139168076
      Dimensions:
      Weight & Pages:
      Dimensions:
      (216 x 138 mm)
      Weight & Pages:
      0.55kg, 468 Pages
      • Subjects:
      Life Sciences, Quantitative Biology, Biostatistics and Mathematical Modeling
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    Subjects:
    Life Sciences, Quantitative Biology, Biostatistics and Mathematical Modeling
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    Book description

    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.

    Reviews

    "...an impressively thorough introduction to statistics...While the title indicates a bent toward biological research, and indeed many examples are drawn from that discipline, the book remains an excellent introduction to statistics for students in virtually any field." John H. Krystal, The Yale Journal of Biology and Medicine

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