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Biometry: the principles and practice of statistics in biological research
Now in its fourth edition (published September 2012), this text has become the classic text on the application
of statistics to biology since its initial publication in 1969.
The complete reference is:
Sokal, R. R. and F. J. Rohlf. 2012. Biometry:
the principles and practice of statistics in biological research.
4th edition. W. H. Freeman and Co.: New York. 937 pp.
ISBN: 0716786044 or 9780716786047.
Chapter titles
 Introduction
 Data in biology
 Computers and data analysis
 Descriptive statistics
 Introduction to probability distribution: binomial and Poisson
 The normal probability distribution
 Estimation and hypothesis testing
 Introduction to the analysis of variance
 Singleclassification analysis of variance
 Nested analysis of variance
 Twoway and 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
 Miscellaneous methods
New to this edition
An Increased Focus on ComputerBased Statistical Methods. The authors have continued to recast most of their popular boxes to use computational formulas used in the latest computer based statistical methods. These boxes demonstrate how the methods are used to solve key biometric problems and serve as brief summaries of the techniques discussed in the chapter. Computational formulas have also been replaced throughout with simpler structural formulas for ease of understanding. Topics covered in the new computational boxes include
 Testing of statistical hypotheses is introduced using permutation tests. Jackknife and bootstrap methods are also introduced.
 Metaanalysis (CH 18)
Matrix methods. Matrix methods are introduced in new sections on multiple regression, general linear models, ancova, and curvilinear regression. A new appendix on matrix algebra is also included
New Chapter on Statistical Power and Sample Size Estimation. The new edition features a new chapter that covers statistical power, measures of effect size, and the estimation of sample size required for a test. It includes methods for constructing confidence intervals of effect sizes making use of the noncentral t and Fdistributions. There is also a new sectionon problems with posthoc power analyses.
UptoDate Coverage of Key Developments in Biostatistics. This edition includes the most uptodate coverage of key topics and trends in the discipline. New topic coverage includes:
 Recent developments in computing hardware and software (CH 3)
 New chapter on statistical power and sample size in the analysis of variance (CH 12) and new sections on effect size, power, and sample size (CH 14, 15, 16, and 17)
 Dunnett’s test for comparing treatment means against a control is now included (CH9)
 Expanded coverage of model II regression (CH 14).
 Multiple comparisons among cell means in a twoway ANOVA when interaction is present (CH 12)Coverage of the most recent methods for the estimation of variance components and their confidence intervals (CH 9).
 Path analysis coverage has been extended to include structural equation modeling (CH 16)
 New coverage of the use of the Akaike’s information criterion and related criteria for fitting complex models (CH 16)
 An updated version of the KolmogorovSmirnov test for comparing frequency distribution is included.
 Major new section on metaanalysis (CH 18)
 The ShapiroWilk test for normality and Levene's test for homogeneity of variances are now included (CH13)
Statistical tables
The accompanying book of tables for the fourth edition is now available.
The complete reference to the 4th edition is:
Rohlf, F. J. and R. R. Sokal. 2012. Statistical tables. 4th edition. W. H. Freeman and Co.: New York. 258 pp. ISBN: 1429240318.
BIOMstat for Windows
The new version (version 4.0) of this software will be available soon (just have to finish the documentation). Version 3.3 can still be used but it does not include the newer methods added to the 4th edition of Biometry and the crossreferences in the listing output are for the 3rd edition of Biometry. The software was designed to be used along side of
the text Biometry. Almost all the statistical methods in the
text are implemented in the BIOMstat software. The listing output
identifies the sections in Biometry where the user can read about
how to interpret the results of a particular analysis.
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