MATH 343 - Advanced Applied Statistics

2021-2022 Catalog Year

Credit(s): 3
Lecture: 3
Non-Lecture: 0
This course serves as an advanced applied statistics course. The course will enhance students’ statistical modeling knowledge and skills in multivariate and advanced settings with possibly interdisciplinary applications. Topics include a review of multiple linear regression and multi-sample analysis, a review of random variables, vector and matrix algebra, the theory of multivariate statistics, exploratory and confirmatory factor analysis, classification and clustering methods, multivariate data analysis techniques, model building and improvement methods, and individually chosen cutting-edge statistical models. Methodologies and applications are studied with real-word data along with state-of-the-art statistical software packages such as R and SAS/SPSS.

Prerequisite(s): MATH 233 and (MATH 341 or MATH 361)
Offered: Not on a Regular Basis
Graded: N - Normal