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

Format:

Book

Author/Creator:

Sokal, Robert R.

Contributor:

Rohlf, F. James, 1936-

Anne and Joseph Trachtman Memorial Book Fund.

Language:

English

Subjects (All):

Biometry.

Physical Description:

xix, 937 pages : illustrations ; 24 cm

Edition:

[Extensively revised] fourth edition.

Place of Publication:

New York : W.H. Freeman, [2012]

Summary:

The premier text in the field, Biometry provides an elementary introduction to basic biostatistics as well as coverage of more advanced methods used in biological research. Students are shown how to think through research problems and understand the logic behind the different experimental situations. This book is designed to serve not only as a text to accompany a lecture course but also as a must have reference text!

New To This Edition

An Increased Focus on Computer-Based Statistical Methods. Computational formulas have been replaced throughout with simpler structural formulas for ease of understanding.

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. This new chapter covers statistical power, measures of effect size, and the estimation of sample size required for a test.

Up-to-Date Coverage of Key Developments in Biostatistics. This edition includes the most up-to-date coverage of key topics and trends in the discipline. Book jacket.

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.

Notes:

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

Local Notes:

Acquired for the Penn Libraries with assistance from the Anne and Joseph Trachtman Memorial Book Fund.

ISBN:

0716786044

9780716786047

OCLC:

756920512

Publisher Number:

99946483799