Many properties of sample surveys are developed through simulation procedures. Students who have received credit for STAT 301 may not take STAT 501 for credit. Topics include descriptive statistics for continuous and categorical variables, methods for handling missing data, basics of graphical perception, graphical displays, exploratory data analysis, the simultaneous display of multiple variables. Credit earned in this course cannot be applied toward a graduate degree in statistics. STAT 598 Topics include linear regression models, inferences in regression analysis, model validation, selection of independent variables, multicollinearity, influential observations, auto correlation in time series data, polynomial regression, nonlinear regression, and other topics in regression analysis.
Statistical software is used.
Topics include life tables, life insurance and annuities, survival distributions, net premiums and premium reserves, multiple life functions and decrement models, valuation of pension plans, insurance models, and benefits and dividends. STAT 598 Introduction to the basic concepts in experimental design. Topics include analysis of variance, multiple comparison tests, completely randomized design, general linear model approach to analysis of variance, randomized block designs, Latin square and related designs, completely randomized factorial design with two or more treatments, hierarchical designs, split-plot and confounded factorial designs, and analysis of covariance. Emphasizes application to real data sets. Non-response problems and measurement errors are also discussed.