— Statistical Methods for Research with SAS

Prerequisites & course information

This version has ended; see updated course, below. Course Description: Focus on linear statistical models widely used in scientific research. Emphasis on concepts, methods and data analysis using SAS. Topics include simple and multiple linear regression, polynomial regression, diagnostics, model selection, variable transformation, factorial designs and ANCOVA. Learning Activities: Lecture 3 hour(s), Laboratory 1 hour(s). Grade Mode: Letter. STA 205 — Statistical Methods for Research with SAS (4 units) Course Description: Focus on linear statistical models widely used in scientific research. Emphasis on concepts, methods and data analysis using SAS. Topics include simple and multiple linear regression, polynomial regression, diagnostics, model selection, variable transformation, factorial designs and ANCOVA. Prerequisite(s): Upper division Statistics course and knowledge of vectors and matrices. Learning Activities: Lecture 3 hour(s), Laboratory 1 hour(s). Enrollment Restriction(s): Pass One open to Statistics and Biostatistics graduate students; Pass Two open to graduate students. Grade Mode: Letter. This course version is effective from, and including: Spring Quarter 2027. Learning Activities: Lecture 3 hour(s), Laboratory 1 hour(s). Grade Mode: Letter. STA 205 — Statistical Methods for Research with SAS (4 units) Course Description: Focus on linear statistical models widely used in scientific research. Emphasis on concepts, methods and data analysis using SAS. Topics include simple and multiple linear regression, polynomial regression, diagnostics, model selection, variable transformation, factorial designs and ANCOVA. Prerequisite(s): Upper division Statistics course and knowledge of vectors and matrices. Learning Activities: Lecture 3 hour(s), Laboratory 1 hour(s). Enrollment Restriction(s): Pass One open to Statistics and Biostatistics graduate students; Pass Two open to graduate students. Grade Mode: Letter. This course version is effective from, and including: Spring Quarter 2027.