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Course Topic(s): Probability | Basic Probability, conditional probability
This is an HTML page that is a part of a larger exposition on probability. Bayes' theorem is derived, first for two events and then for a partition of the sample space into \(n\) events. Applications are given to the Monty Hall problem and to diagnostic testing. A few print references are given. The exposition is generally good, but the notation is poor since only html formatting is used.
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Creator(s): Alexander Bogomolny
Contributor(s): Alexander Bogomolny
This resource was cataloged by Kyle SiegristPublisher:
Resource copyright: Copyright Alexander Bogomolny. The html page can be accessed and linked to, but not copied or used in other works.
This review was published on September 14, 2012
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