7 courses with the subject STQM, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
DSC 3020 - Statistical Analysis The course presents material on SAS programming and its use to conjunction with some intermediate statistical methods in dealing with some business problems. By the end of the course, student should be able to formulate business problems, write SAS programs, conduct some common statistical procedures (using SAS), and report the findings. Click here for the Fall 2026 Class Schedule
DSC 3020 . This course covers applied regression and other multivariable methods in data analysis. Topics include: Simple linear regression, multivariable regression, inference, transformations, correlation, dummy variables, regression diagnostics, polynomial regression, analysis of variance, analysis of covariance, selecting best model. Click here for the Fall 2026 Class Schedule
STQM 4420 . This course covers methods of data analysis for data which is categorical in nature. Topics include: Contingency tables (2x2 table, sets of 2x2 tables, 2xr, and sx2 tables, sxr tables), association, Mantel-Haenzel test, observer agreement, rank ANOVA, logistic regression. Click here for the Fall 2026 Class Schedule
Permission of Instructor A course in which content may vary each offering. Interested students must consult with instructor or department chair prior to enrolling. Topics include: statistical computing, simulation, survival analysis, cluster analysis, factor analysis, nonparametic statistics, econometrics. May be repeated for credit. Click here for the Fall 2026 Class Schedule
Source: North Carolina Central University's catalog, linked per course · table learning_unit · CourseShelf publish 61