Reprint. Originally published: New York : Interscience, 1964. Includes bibliographical references and index.

Introduction -- The nature of measurement -- Statistical models and statistical analysis -- The mathematical framework of statistics part I -- The mathematical framework of statistics part II -- Homogeneous sets of measurements -- The precision and accuracy of measurements -- The method of least squares -- Testing the statistical model -- The analysis of structured data -- Some principles of sampling -- The fitting of curves and surfaces -- The fitting of straight lines -- The systematic evaluation of measuring processes -- The comparison of methods of measurement -- Appendix -- Index. "The increasing importance in laboratory situations of minutely precise measurements presents the chemist and physicist with numerous problems in data analysis. National Bureau of Standards statistics consultant John Mandel here draws a clear and fascinating blueprint for a systematic science of statistical analysis --geared to the particular needs of the physical scientist, with approach and examples aimed specifically at the statistical problem he is likely to confront. The first third of The Statistical Analysis of Experimental Data comprises a thorough grounding in the fundamental mathematical definitions, concepts and facts underlying modern statistical theory -- math knowledge beyond basic algebra, calculus and analytic geometry is not required. Remaining chapters deal with statistics as an interpretive tool that can enable the laboratory researcher to determine his most effective methodology ... Mandel argues that, when backed by an understanding of its theoretic framework, statistics offers researchers 'not only a powerful tool for the interpretation of experiments but also a task of real intellectual gratification.' The Statistical Analysis of Experimental Data provides the physical scientist with the explanations and models he requires to impress this invaluable tool into his service."--Back cover.