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Description: |
xiii, 944 pages : illustrations ; 26 cm |
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Bibliography Note: |
Includes bibliographical references (pages 886-921) and indexes. |
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Contents Note: |
Contents: Introduction -- Populations and samples -- Measures of central tendency -- Measures of dispersion and variability -- Probabilities -- The normal distribution -- One-sample hypotheses -- Two-sample hypotheses -- Paired-sample hypotheses -- Multisample hypotheses: the analysis of variance -- Multiple comparisons -- Two-factor analysis of variance -- Data transformations -- Multiway factorial analysis of variance -- Nested (hierarchical) analysis of variance -- Multivariate analysis of variance -- Simple linear regression -- Comparing simple linear regression equations -- Simple linear correlation -- Multiple regression and correlation -- Polynomial regression -- Testing for goodness of fit -- Contingency tables -- More on dichotomous variables -- Testing for randomness -- Circular distributions: descriptive statistics -- Circular distributions: hypothesis testing. |
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Summary, Etc. Note: |
This textbook introduces all biostatistical methods while assuming no statiscal background. Comprehensive, topical coverage covers all areas of the biology curriculum that benefit from statistical analysis. |
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Additional Physical Forms: |
Online version: Zar, Jerrold H., 1941- Biostatistical analysis. 5th ed. Upper Saddle River, N.J. : Prentice-Hall/Pearson, ©2010 (OCoLC)776535068 |
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Elect. Loc./Access: |
Table of contents https://www.loc.gov/catdir/toc/ecip0825/2008035156.html |