The textbook contains enough material for a year-long course, though many instructors will use it for a single term (one semester or one quarter). It is intended to appeal to a wide audience, including mathematics and statistics majors, prospective engineers and scientists, and those business and social science majors interested in the quantitative aspects of their disciplines. The exposition reflects a desirable balance between fundamental theory and many applications involving a broad range of real problem scenarios. This updated and revised first-course textbook in applied probability provides a contemporary and lively post-calculus introduction to the subject of probability. Request lecturer material: sn.pub/lecturer-material Includes supplementary material: sn.pub/extras
Updated and re-worked Recommended Coverage for instructors, detailing which courses should use the textbook and how to utilize different sections for various objectives and time constraintsĮxtended and revised instructions and solutions to problem sets Preface details mathematical level and uses three sample course syllabi to suggest what can be covered in courses of varying duration Introduction addresses “Why study probability?” by surveying selected examples from recent journal articles and discussing classic problems whose solutions are counterintuitive Software-oriented approach-illustrating importance of software for carrying out simulations when answers to questions cannot be obtained analyticallyĮxamples and problems in R and MATLAB, including code so students can create simulations Supplementary materials include three sample syllabi and updated solutions manuals for both instructors and students
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