This popular and critically acclaimed text for undergraduate courses concentrates on the practical applications of statistics to biology. Its straightforward approach offers students with a minimal background in mathematics an accessible introduction to biostatistics. Worked-out examples appear throu... read more
See Sample Pages! Click here to look inside this book.
Customers who bought this book also bought:
Our Editors also recommend:
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 and numerous worked examples with step-by-step presentation. Includes 116 tables.
Some Theory of Sampling by William Edwards Deming An analysis of the problems, theory, and design of sampling techniques; assumes only college-level algebra. "The 'bible' of sampling statisticians." — American Statistical Association Journal. 1950 edition.
Mendel's Principles of Heredity by William Bateson, Gregor Mendel Mendel's 1865 paper, Experiments in Plant Hybridization, remained neglected till Bateson revived interest in Mendel's studies with this 1902 work, which helped lay the groundwork for the field of genetics. 8-page color insert.
Outline of Basic Statistics: Dictionary and Formulas by John E. Freund, Frank J. Williams Handy guide includes a 70-page outline of essential statistical formulas covering grouped and ungrouped data, finite populations, probability, and more, plus over 1,000 clear, concise definitions of statistical terms. 1966 edition.
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.
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.
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 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. Illustrations.
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.
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.
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.
Product Description:
This popular and critically acclaimed text for undergraduate courses concentrates on the practical applications of statistics to biology. Its straightforward approach offers students with a minimal background in mathematics an accessible introduction to biostatistics. Worked-out examples appear throughout the book, illuminating highly relevant examples of solutions to problems in biological data analysis. The treatment progresses from descriptive statistics to fundamental distributions and the testing of elementary statistical hypotheses. It introduces the analysis of variance, presenting an in-depth survey that ranges from single-classification to two-way analysis of variance. Additional topics include regression, correlation, and analysis of frequencies. Numerous tables provide computational methods, from initial setup to final result, for solving a variety of biostatistical problems.
Reprint of the W. H. Freeman & Company, San Francisco, 1987 edition.
This book was printed in the United States of America.
Dover books are made to last a lifetime. Our US book-manufacturing partners produce the highest quality books in the world and they create jobs for our fellow citizens. Manufacturing in the United States also ensures that our books are printed in an environmentally friendly fashion, on paper sourced from responsibly managed forests.