STAT 3127. Statistical Computing (3-0-3) Prerequisite: Prerequisite: STAT 1401, or BUSA 3115, or CRJU 3107 with a minimum grade of C. The goal of this course is to provide students with an introduction to statistical programming for data management, analysis, and reporting, and familiarize students with practical issues related to the exploration of actual data sets. This course introduces the most commonly used features of one of several popular statistical packages, especially in examining, transforming, and analyzing data (linear regression, ANOVA, and dummy variable regression).
STAT 5176. Statistical Design and Analysis of Experiments (3-0-3) Prerequisite: STAT 3127 with a grade of "C" or better. Completely randomized designs, treatment comparisons, diagnosing agreement between the data and the model, experiments to study variances, factorial treatment design and applications. Appropriate statistical software will be used.
STAT 5177. Applied Regression Analysis (3-0-3) Prerequisite: STAT 3127 with a grade of "C" or better. Simple and multiple regression, transformation of variables, diagnostic procedures, analysis of variance and residuals, comparison of two multiple regression models, calibration and regulation for linear regression, linear splines, subset analysis and variable selection, nonlinear regression. Appropriate statistical software will be used.