This popular and critically acclaimed text for undergraduates concentrates on the practical applications of statistics to biology. Its offers sufficient detail to be coherent to students with a minimal background in mathematics. From descriptive statistics to fundamental distributions and testing of hypotheses, it provides many worked-out problems and examples. 1987 edition. Reprint of the W. H. Freeman & Company, San Francisco, 1987 edition.
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Principles of Statistics by M. G. Bulmer Concise description of classical statistics, from basic dice probabilities to modern regression analysis. Equal stress on theory and applications. Moderate difficulty; only basic calculus required. Includes problems with answers.
Practical Statistics Simply Explained by Dr. Russell A. Langley Primer on how to draw valid conclusions from numerical data using logic and the philosophy of statistics rather than complex formulae. Discusses averages and scatter, investigation design, more. Problems, solutions.
The Statistical Analysis of Experimental Data by John Mandel First half of book presents fundamental mathematical definitions, concepts and facts while remaining half deals with statistics primarily as an interpretive tool. Well-written text, numerous worked examples with step-by-step presentation. Includes 116 tables.
An Introduction to Scientific Research by E. Bright Wilson, Jr. Exceptionally useful guide to pragmatic scientific method: design of experiments and apparatus, analysis of data, sampling and measurement, numerical computation, much more. Broad applications. References. Illustrated.
Science and Method by Henri Poincaré Classic account of basic methodology and psychology of scientific discovery explains how scientists analyze and choose their working facts and explores the nature of experimentation, theory, and the mind. 1914 edition.
Introduction to Mathematical Biology by S. I. Rubinow Designed to explore the applications of mathematical techniques and methods related to biology, this text explores five areas: cell growth, enzymatic reactions, physiological tracers, biological fluid dynamics and diffusion.
An Introduction to Mathematical Taxonomy by G. Dunn, B. S. Everitt For students of mathematical biology, an introduction to taxonomic characters, measurement of similarity, analysis of principal components, multidimensional scaling, cluster analysis, identification and assignment techniques, and the construction of evolutionary trees.
Probability, Statistics and Truth by Richard von Mises This comprehensive study of probability considers the approaches of Pascal, Laplace, Poisson, and others. It also discusses Laws of Large Numbers, the theory of errors, and other relevant topics.
Statistical Inference by Vijay K. Rohatgi This treatment of probability and statistics examines discrete and continuous models, functions of random variables and random vectors, large-sample theory, more. Hundreds of problems (some with solutions). 1984 edition. Includes 144 figures and 35 tables.
