This updated text provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and this emphasis on data motivates the probability coverage.As with the previous editions, Ross’ text has remendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications apply probability theory to everyday statistical problems and situations. – New Chapter on Simulation, Bootstrap Statistical Methods, and Permutation Tests- 20% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer science- New Real data examples that use significant real data from actual studies across life science, engineering, computing and business- New End of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material
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