937 pages, b/w illustrations, tables
Biometry is the gold standard in biostatistics providing an authoritative, comprehensive introduction to the field. Revered by instructors and students alike, this eagerly awaited revision is an invaluable instructor and student reference resource. The book's clear, concise and precise writing facilitates student learning of key foundational topics including probability distribution, analysis of variance (ANOVA), and regression.
"Biometry" is an applied statistical methods book. It is intended for an introductory upper-division biological statistics course which is offered commonly in the biology, ecology, or evolution departments, and occasionally in biological statistics or math departments.
Chapter 1 Introduction
Chapter 2 Data In Biology
Chapter 3 Computers And Data Analysis
Chapter 4 Descriptive Statistics
Chapter 5 Introduction To Probability Distribution: Binomial And Poisson
Chapter 6 The Normal Probability Distribution
Chapter 7 Estimation And Hypothesis Testing
Chapter 8 Introduction To The Analysis Of Variance
Chapter 9 Single-classification Analysis Of Variance
Chapter 10 Nested Analysis Of Variance
Chapter 11 Two-way And Multiway Analysis Of Variance
Chapter 12 Statistical Power And Sample Size In The Analysis Of Variance
Chapter 13 Assumptions Of Analysis Of Variance
Chapter 14 Linear Regression
Chapter 15 Correlation
Chapter 16 Multiple And Curvilinear Regression
Chapter 17 Analysis Of Frequencies
Chapter 18 Miscellaneous Methods
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ROBERT SOKAL, State University of New York, Stony Brook, USA. JAMES ROHLF, State University of New York, Stony Brook, USA.