The Pennsylvania State University, Spring 2009

STAT 418, Section 002: Probability

This course introduces students to the fundamentals and axioms of probability. Topics covered include combinatorial probability, conditional probability and independence, probability laws, random variables, expectation, gambler's ruin, Chebyshev's inequality, Laws of Large Numbers, and the Central Limit Theorem. Applications to a variety of fields will be emphasized.

Throughout the course, we shall monitor The Centre Daily Times and The New York Times for articles related to topics covered in the course. We shall work through the probabilistic information in such articles so as to relate them to the subject of the course and to our everyday lives and experiences.

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