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This is an introductory course in the mathematical theory of probability, thus it is
fundamental to further work in probability and statistics. Principles of set theory and a set
of axioms for probability are used to derive some probability density and/or distribution
functions. Special counting techniques are developed to handle some problems.
Properties associated with a “random variable” are developed for the usual elementary
distributions. Both theorem proving and problem solving are required.
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