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SAS companion for P.V. Rao's Statistical research methods in the life sciences / Mary Sue Younger, P. V. Rao.

By: Material type: TextTextPublication details: Pacific Grove, CA : Duxbury Press, 1998.Description: xi, 433 pages : illustrations, graphs ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 0534931421
Subject(s): DDC classification:
  • 570.72  YOU
Summary: Appropriate for all courses in statistical methods for the agricultural, life, health, and environmental sciences, this book offers a practical and modern approach that minimizes computation and emphasizes conceptual understanding.Rao continually emphasizes issues and topics most relevant to modern day research in the life sciences. For example, point and interval estimation take priority over testing of statistical hypothesis and methods and guidelines for determination of sample size are indicated whenever possible.Statistical Research Methods in the Life Sciences" also presents a self-contained and complete discussion of each experimental situation considered. In the two-sample setting, for example, in addition to presenting the procedures under the usual analysis of variance assumption, Rao also presents methods for checking the validity of the assumptions.
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Item type Current library Call number Status Date due Barcode
Books Govt. Graduate College Gulberg, Lahore - Central Library 570.72 YOU (Browse shelf(Opens below)) Available 12860

includes index.

Appropriate for all courses in statistical methods for the agricultural, life, health, and environmental sciences, this book offers a practical and modern approach that minimizes computation and emphasizes conceptual understanding.Rao continually emphasizes issues and topics most relevant to modern day research in the life sciences. For example, point and interval estimation take priority over testing of statistical hypothesis and methods and guidelines for determination of sample size are indicated whenever possible.Statistical Research Methods in the Life Sciences" also presents a self-contained and complete discussion of each experimental situation considered. In the two-sample setting, for example, in addition to presenting the procedures under the usual analysis of variance assumption, Rao also presents methods for checking the validity of the assumptions.

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