The University of Alabama 3 credits MATH
The foundations of the theory of probability, laws governing random phenomena and their practical applications in other fields. Topics include: probability spaces; properties of probability set functions; conditional probability; and an introduction to combinatorics, discrete random variables, expectation of discrete random variables, continuous variables and their distribution functions, Chebyshev's Inequality, expectation, variance, and covariance, special densities and the central limit theorem.
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