MATH 3200 - Applied Modeling and Statistics

Goals: To gain an understanding of applied statistics with emphasis on multivariate statistical analysis building on the concepts learned in elementary statistics courses.

Content: Topics will include statistical models motivated by examples drawn from diverse fields including economics, education, and biology; model selection and factor analysis; maximum likelihood; multiple regression; MANOVA; logistic regression; and the bootstrap.

Taught: Fall term.

Prerequisites: MATH 1170. MATH 3320 is recommended.

Credits: 4 credits