Biometry : the principles and practice of statistics in biological research / Robert R. Sokal and F. James Rohlf.
Material type: TextPublication 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 2012Item type | Current library | Collection | Call number | Copy number | Status | Notes | Date due | Barcode |
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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-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 |
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QH318 .Ew8 1980 Tropical biology for 'O' level and school certificate. | QH323.5 .B52 Biometrics under biomedical considerations. | QH323.5 .H67 2019 Basic biostatistics for medical and biomedical practitioners | QH323.5 .So4 2012 Biometry : the principles and practice of statistics in biological research / | QH323.5 .So4 2012 Biometry : the principles and practice of statistics in biological research / | QH324 .J71 2007 Practical skills in biology/ | QH325 .L58 1992 Evolution of Life/ |
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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