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Course Criteria
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1.00 Credits
Applying mathematical statistics in actuarial science. Prepares for Exam P.
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3.00 Credits
S Plus, statistical graphics, simulation, advanced SAS (macros, Proc IML, and Proc SQL), and database programming.
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3.00 Credits
Basic designs, power and sample size, Latin squares, incomplete blocks, change-over designs, factorials, fractional factorials, confounding, split-plots, response surface designs.
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2.00 Credits
Planning and executing KBYU / Utah Colleges Exit Poll.
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3.00 Credits
Estimation in systematic, simple random, stratified, cluster, and PPS sampling and mixtures of these; ratio estimation, sample size determination and principles of sample allocation.
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3.00 Credits
Permutation tests, rank-based methods, analysis of contingency tables, bootstrap methods, curve fitting.
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3.00 Credits
Six sigma; tools with which to define, measure, analyze, improve, control. Advanced concepts in control charts, applying experimental design for process and product improvement.
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3.00 Credits
Mathematics, distributions, management, and maintenance of basic reliability concepts; collection and analysis of test data; fault tree analysis; applying reliability in various areas.
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3.00 Credits
Data mining, univariate ARIMA time series theory and application, seasonal models, spatial correlation models, conditional heteroscedastic models in financial time series, case studies.
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3.00 Credits
Theory of interest, annuities, amortization, financial derivatives. Prepares for the Society of Actuaries Exam FM.
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