— Applied Statistics II

Prerequisites & course information

This version has ended; see updated course, below. Course Description: Alternative approaches to regression, model selection, nonparametric methods amenable to linear model framework and their applications. Learning Activities: Lecture 3 hour(s), Laboratory 1 hour(s). Grade Mode: Letter. STA 232B — Applied Statistics II (4 units) Course Description: Alternative approaches to regression, model selection, nonparametric methods amenable to linear model framework and their applications. Prerequisite(s): STA 106 ; STA 108 ; STA 131A ; STA 131B ; STA 131C ; STA 232A ; MAT 167 . Learning Activities: Lecture 3 hour(s), Laboratory 1 hour(s). Enrollment Restriction(s): Open to Statistics and Biostatistics Ph.D. students. Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027. STA 232B — Applied Statistics II (4 units) Course Description: Alternative approaches to regression, model selection, nonparametric methods amenable to linear model framework and their applications. Prerequisite(s): STA 106 ; STA 108 ; STA 131A ; STA 131B ; STA 131C ; STA 232A ; MAT 167 . Learning Activities: Lecture/Lab 4 hour(s). Enrollment Restriction(s): Open to Statistics and Biostatistics Ph.D. 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 232B — Applied Statistics II (4 units) Course Description: Alternative approaches to regression, model selection, nonparametric methods amenable to linear model framework and their applications. Prerequisite(s): STA 106 ; STA 108 ; STA 131A ; STA 131B ; STA 131C ; STA 232A ; MAT 167 . Learning Activities: Lecture 3 hour(s), Laboratory 1 hour(s). Enrollment Restriction(s): Open to Statistics and Biostatistics Ph.D. students. Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027. STA 232B — Applied Statistics II (4 units) Course Description: Alternative approaches to regression, model selection, nonparametric methods amenable to linear model framework and their applications. Prerequisite(s): STA 106 ; STA 108 ; STA 131A ; STA 131B ; STA 131C ; STA 232A ; MAT 167 . Learning Activities: Lecture/Lab 4 hour(s). Enrollment Restriction(s): Open to Statistics and Biostatistics Ph.D. students. Grade Mode: Letter. This course version is effective from, and including: Spring Quarter 2027.