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3rd Edition

Introduction to Statistics for Biology




ISBN 9781584886525
Published May 17, 2007 by Chapman & Hall
296 Pages 78 B/W Illustrations

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Book Description

Even though an understanding of experimental design and statistics is central to modern biology, undergraduate and graduate students studying biological subjects often lack confidence in their numerical abilities. Allaying the anxieties of students, Introduction to Statistics for Biology, Third Edition provides a painless introduction to the subject while demonstrating the importance of statistics in contemporary biological studies.

New to the Third Edition

  • More detailed explanation of the ideas of elementary probability to simplify the rationale behind hypothesis testing, before moving on to simple tests
  • An emphasis on experimental design and data simulation prior to performing an experiment
  • A general template for carrying out statistical tests from hypothesis to interpretation
  • Worked examples and updated Minitab analyses and graphics
  • Downloadable resources contains a free trial version of Minitab

    Using Minitab throughout to present practical examples, the authors emphasize the interpretation of computer output. With its nontechnical approach and practical advice, this student-friendly introductory text lays the foundation for the advanced study of statistical analysis.
  • Table of Contents

    How Long Is a Worm? Confidence Intervals. Comparing things: Two Sample Tests. Planning an Experiment. Partitioning Variation and Constructing a Model. Analyzing Your Results-Is There Anything There?. Interpreting Your Analysis: From Hypothesis Testing to Biological Meaning. Relating One Variable to Another. Categorical Data. Ranks and Scores: Nonparametric Tests. Managing Your Project. Appendices. Index.

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    Reviews

    "With its non-technical approach and practical advice, this accessible to students introductory text lays the foundation for more advanced study of statistical analysis and biometry. I strongly recommend this excellent text to all undergraduate students in the biological sciences."
    Journal of the Royal Statistical Society