Biometry: The Principles and Practice of Statistics in Biological Research (2nd ed.).

TLDR

Biometry is presented from elementary to advanced methods for biological research, emphasizing both experimental analysis and descriptive statistical study of biological phenomena. The book serves as a lecture companion and self‑study course, aiming to equip students with the ability to design experiments, select appropriate statistical tests, and perform necessary computations. Chapters cover data handling, descriptive statistics, probability estimation, hypothesis testing, ANOVA, linear and nonlinear regression, frequency analysis, and other miscellaneous methods.

Abstract

This text develops the science of biometry from an elementary introduction up to the advanced methods necessary for biological research and for an understanding of the published literature. This text is aimed primarily at the academic biologist including general zoologists botanists microbiologists geneticists and physiologists in universities research institutes and museums. This book while furnishing ample directions for the analysis of experimental works also stresses the descriptive and analytical statistical study of biological phenomena. It is intended both as a text to accompany a lecture course and as a complete course for self-study. The book aims to instill in students an ability to think through biological research problems in such a way as to grasp the essentials of the experimental or analytical setup to know which types of statistical tests to apply in a given case and to carry out the computations required. Chapters cover biological data data handling descriptive statistics probability estimation and hupothesis testing analysis of variance linear regression correlation multiple and curvilinear regression analysis of frequencies and miscellaneous methods.