STAT - 372. Applied Regression Analysis for Social Justice

(2 hours lecture, 2 hours laboratory)
3 credit(s)
Applied Regression Analysis for Social Justice introduces students to simple, multiple, polynomial, and logistic regression models, as well as generalized linear models, with a focus on applications to real-world issues of an equity and social justice nature. Specifically, the course will illustrate how regression models may quantitatively inform on issues relating to disparities in health outcomes, education, housing, criminal justice, and income equality, among others. Mathematics Lab

Prerequisite(s): BAAS 200 OR MATH 371 OR STAT 175 OR STAT 275
Attribute: CFJ, DASC, LAS, MHUL

Add to My Favorites.

Close Window