Noted scientist's exceptionally clear, pragmatic guide to principles and procedures useful in a wide range of sciences. Design of experiments and apparatus; classification, sampling and measurement; analysis of experimental data; errors of measurement; probability, randomness and logic; much more. Indispensable for any researcher. 1952 edition. 49 illustrations.
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.
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.
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 Biostatistics: Second Edition by Robert R. Sokal, F. James Rohlf Suitable for undergraduates with a minimal background in mathematics, this introduction ranges from descriptive statistics to fundamental distributions and the testing of hypotheses. Includes numerous worked-out problems and examples. 1987 edition.
