Synopsis
"Probability and Statistics: The Science of Uncertainty" brings a modern flavour based on incorporating the computer to the course and an integrated approach to inference. From the start the book integrates simulations into its theoretical coverage and emphasizes the use of computer-powered computation throughout. Mathematics and science students with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities. The book provides a thorough grounding in probability theory, enabling the student to go beyond that to the theory of statistical inference and its applications. An integrated approach to inference is presented that includes the frequency approach as well as Bayesian methodology. Examples of data analysis using real world data are presented throughout the text. An appendix in the book contains Minitab code for more involved computations. The code can be used by students as templates for their own calculations. If a software package like Minitab is used with the course then no programming is required by the students.
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About the Author
MICHAEL J. EVANS University of Toronto, Canada - JEFFREY S. ROSENTHAL University of Toronto, Canada
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