Biostatistical Analysis 4th Edition 4th  Edition

Biostatistical Analysis 4th Edition 4th Edition  (English, Paperback, Jerrold H. Zar)

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Highlights
  • Language: English
  • Binding: Paperback
  • Publisher: Pearson
  • ISBN: 9789332536678/9788177585827, 8177585827
  • Edition: 4th Edition, 2006
  • Pages: 929
Description

Introduces all biostatistical methods while assuming no statistical background. Enormously comprehensive, topical coverage as compared to the competition. Presents a large variety of concepts and procedures that cover all areas of the biology curriculum that benefit from statistical analysis.

Salient Features

  • Presents a broad collection of data-analysis procedures and techniques used across a wide variety of biological disciplines
  • Contains an orderly organization and presentation of topics, with cross-referencing as appropriate.
  • Adopts an approach that is both readable and accessible, assuming no previous statistics background or mathematical expertise beyond simple algebra.
  • Encourages students to think about the value of each statistical technique, as opposed to merely plugging numbers into formulae.
  • Considers factorial analysis of variance and multiple regression in terms of the interpretation of typical computer output.
  • Integrates a wealth of graphs and other figures to visually support concepts under discussion.
  • Features a uniquely comprehensive set of statistical tables—over 40 in all—that facilitates statistical analyses without having to consult a separate book.
  • Guides readers step-by-step through numerous worked examples, demonstrating each of the concepts and procedures under discussion.
  • Presents additional exercises, with answers, at the end of each chapter.
  • Offers an extensive bibliography to direct readers toward further literature.
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Specifications
Book Details
Publication Year
  • 2006
Contributors
Author
  • Jerrold H. Zar
University Books Details
Degree/Diploma
  • B.Tech
Specialization
  • Biotechnology
Subject
  • Statistical Techniques
Term
  • 2nd Semester
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