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Biostatistical analysis / Jerrold H. Zar

By: Material type: TextTextSeries: Pearson custom libraryPublisher: Harlow : Pearson Education Limited, ©2014Edition: Pearson New International Fifth editionDescription: 756 pages. : illustrations, charts ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781292024042
Subject(s): Scope and content: Zar's Biostatistical Analysis, Fifth Edition, is the ideal textbook for graduate and undergraduate students seeking practical coverage of statistical analysis methods used by researchers to collect, summarize, analyze and draw conclusions from biological research. The latest edition of this best-selling textbook is both comprehensive and easy to read. It is suitable as an introduction for beginning students and as a comprehensive reference book for biological researchers and for advanced students. This book is appropriate for a one- or two-semester, junior or graduate-level course in biostatistics, biometry, quantitative biology, or statistics, and assumes a prerequisite of algebra
List(s) this item appears in: ON ATU GALWAY READING LISTS June 2023
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Item type Current library Collection Call number Status Date due Barcode
General General ATU Dublin Road General Shelves Check catalogue for eBook edition 570.15195 ZAR (Browse shelf(Opens below)) Available J146425

Includes bibliographical references and indexes

Zar's Biostatistical Analysis, Fifth Edition, is the ideal textbook for graduate and undergraduate students seeking practical coverage of statistical analysis methods used by researchers to collect, summarize, analyze and draw conclusions from biological research. The latest edition of this best-selling textbook is both comprehensive and easy to read. It is suitable as an introduction for beginning students and as a comprehensive reference book for biological researchers and for advanced students. This book is appropriate for a one- or two-semester, junior or graduate-level course in biostatistics, biometry, quantitative biology, or statistics, and assumes a prerequisite of algebra

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