This gracefully organized text presents the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer simulations to develop and illustrate concepts.

Beginning with the basic ideas and techniques of probability theory and progressing to more rigorous topics, this treatment covers all of the topics typically addressed in a two-semester course in probability and statistical inference for graduate and upper-level undergraduate courses, including hypothesis testing, Bayesian analysis, and sample-size determination. The author reinforces important ideas and special techniques with drills and boxed summaries.

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