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Biometry : the principles and practice of statistics in biological research / Robert R. Sokal and F. James Rohlf.

By: Sokal, R. RContributor(s): Rohlf, F. James, 1936-Material type: TextTextPublication details: New York : W.H. Freeman, c2012. Edition: [Extensively rev.] 4th edDescription: xix, 937 p. : ill. ; 24 cmISBN: 0716786044; 9780716786047Other title: Principles and practice of statistics in biological researchSubject(s): Biometry | Biometry | BiometryDDC classification: 570.1/5195 LOC classification: QH323.5 | .So4 2012
Contents:
Introduction -- Data In biology -- Computers and data analysis -- Descriptive statistics -- Introduction to probability distribution : binomial and Poisson -- The normal probability distribution -- Hypothesis testing and interval estimation -- Introduction to analysis of variance -- Single-classification analysis of variance -- Nested analysis of variance -- Two-way multiway analysis of variance -- Statistical power and sample size in the analysis of variance -- Assumptions of analysis of variance -- Linear regression -- Correlation -- Multiple and curvilinear regression -- Analysis of frequencies -- Meta-analysis and miscellaneous methods.
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Item type Current library Collection Call number Copy number Status Notes Date due Barcode
AAMUSTED Books AAMUSTED Books AAMUSTED-NASKA II Library, MAMPONG
Reference
Non-fiction QH323.5 .So4 2012 (Browse shelf(Opens below)) C1 Available (Restricted Access) Please! Handle our books with care!. 0000000001172
AAMUSTED Books AAMUSTED Books AAMUSTED-NASKA II Library, MAMPONG
Reference
Non-fiction QH323.5 .So4 2012 (Browse shelf(Opens below)) C2 Available (Restricted Access) Please! Handle our books with care!. 0000000001174

Previous ed.: 1995.

Text on lining papers.

Includes bibliographical references (p. 891-908) and indexes.

Introduction -- Data In biology -- Computers and data analysis -- Descriptive statistics -- Introduction to probability distribution : binomial and Poisson -- The normal probability distribution -- Hypothesis testing and interval estimation -- Introduction to analysis of variance -- Single-classification analysis of variance -- Nested analysis of variance -- Two-way multiway analysis of variance -- Statistical power and sample size in the analysis of variance -- Assumptions of analysis of variance -- Linear regression -- Correlation -- Multiple and curvilinear regression -- Analysis of frequencies -- Meta-analysis and miscellaneous methods.

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