Statistics Courses




Course	Title	Hrs	Offered	Description
ASM 598	Intro to SAS Programming	3	fall, spring	Introduction to SAS programming
HSM 561	Biostatistics	3	fall, spring	Aspects of descriptive statistics and statistical inference most relevant to health issues, including data, rates, and confidence intervals. FEE
STP 530	Applied Regression Analysis	3	fall	Method of least squares, simple and multiple linear regression, polynomial regression, analysis of residuals, dummy variables, and model building
STP 532	Applied Nonparametric Statistics	3	fall	One-sample test, tests of 2 or more related or independent samples, measures of correlation, and tests of trend and dependence
STP 533	Applied Multivariate Analysis	3	spring	Discrinanant analysis, principal components, factor analysis, cluster analysis, and canonical correlation
STP 534	Applied Discrete Data Analysis	3	selected semester	Models for discrete and count data, measures of association, and log-linear and regression models for contingency tables
STP 535	Applied Sampling Methodology	3	spring	Simple random, stratified, cluster sampling; variance estimation in complex surveys; nonparametric superpopulation approaches; nonresponse models; computational methods
IEE 578	Regression Analysis	3	fall	Regression model building oriented toward engineers and physical scientists. Topics include linear regression, diagnostics, biased and robust fitting, nonlinear regression
QBA 525	Applied Regression Models	3	fall	Simple linear regression, multiple regression, indicator variables, and logistic regression. Emphasizes business and economic applications.