MATH 6652X Topics in Probability Theory and Statistics
(Prior to Fall 2010, this course was known as MATH 652.
The information below might still reflect the old course numbers. Bracketed numbers, if any, are the old course numbers. Learn more...)
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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