Mathematics for Decision Making

Catalog description

3 Lecture Hour(s) 0 Lab Hour(s) This course covers mathematical concepts for the effective formulation and solution of application problems in business, finance, management, and the social and life sciences. Topics include descriptive data analysis, inferential statistics, bivariate regression and correlation, linear equations and matrix operations, and differentiation and its application to max-min problems..