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This book is an amazingly interesting and not-boring textbook to introduce the main ideas and techniques of probability, statistics, and stochastic processes to undergraduate students. Positioning itself between such a "hard" and "soft" approach as, for instance, Hogg and Craig (1978) and Tanis (1987), this book gives a sound quotient of theoretical inference and practical hands-on usage of statistical concepts and methods. The book is very well structured and contains plenty of small graphs and tables, framed propositions and definitions, corollaries, and formulae that can smooth the progress of reading and understanding. Numerous examples explain theoretical tools via their applications in physics, biology, economics, other areas of natural, social, and computer sciences, and various other human activity. (TECHNOMETRICS, 2006)