MATH 6652X Topics in Probability Theory and Statistics
45 hours; 3 credits
Set theory, counting arguments, functions, review of infinite series, sample spaces and probability spaces, conditional probability and independence, discrete and continuous random variables and their distribution functions, joint distributions, expected values and moments, Chebyshev's inequalities, the law of large numbers, central limit theorem, applications to sampling theory and testing of hypotheses, confidence intervals, introduction to correlation, and regression analysis.
Prerequisite: Mathematics 7280X [607X] or a year of calculus or permission of the chairperson.
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