Résumé :
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Professor Bulmer devotes the first chapters to a concise, admirably clear description of basic terminology and fundamental statistical theory : abstract concepts of probability and their applications in dice games, Mendelian heredity, etc. ; definitions and examples of discrete and continuous random variables ; multivariate distributions and the descriptive tools used to delineate them ; expected values, etc. The book then moves quickly to more advanced levels, as Professor Bulmer describes important distributions (binomial, Poisson, exponential, normal, etc.), tests of significance, statistical inference, point estimation, regression and correlation. Dozens of exercises and problems appear at the end of various chapters, with answers provided at the back of the book ; also included are a number of statistical tables and selected references.
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