— Applied Statistics III
This version has ended; see updated course, below. Course Description: Multivariate analysis: multivariate distributions, multivariate linear models, data analytic methods including principal component, factor, discriminant, canonical correlation and cluster analysis.
Prerequisites & course information
This version has ended; see updated course, below. Course Description: Multivariate analysis: multivariate distributions, multivariate linear models, data analytic methods including principal component, factor, discriminant, canonical correlation and cluster analysis. Learning Activities: Lecture 3 hour(s), Laboratory 1 hour(s). Grade Mode: Letter. STA 232C — Applied Statistics III (4 units) Course Description: Multivariate analysis: multivariate distributions, multivariate linear models, data analytic methods including principal component, factor, discriminant, canonical correlation and cluster analysis. Prerequisite(s): STA 106 ; STA 108 ; STA 131C ; STA 232B ; MAT 167 . Learning Activities: Lecture/Lab 4 hour(s). 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 232C — Applied Statistics III (4 units) Course Description: Multivariate analysis: multivariate distributions, multivariate linear models, data analytic methods including principal component, factor, discriminant, canonical correlation and cluster analysis. Prerequisite(s): STA 106 ; STA 108 ; STA 131C ; STA 232B ; MAT 167 . Learning Activities: Lecture/Lab 4 hour(s). Grade Mode: Letter. This course version is effective from, and including: Spring Quarter 2027.
Sources
- Course catalogue ↗2026-2027