MGT 320 - Data Analysis for Managerial Decision Making

Credit(s): 3
Lecture Hours: 3
Lab Hours: 0
When Offered: Fall, Summer

Managerial decision making is emphasized based on the detection and evaluation of patterns in multiple factor databases related to particular managerial problems. Given the nature of the data, appropriate hypothesis tests and statistical tests of hypotheses will be applied including regression and correlation analysis, analysis of variance, crosstabs and multivariate regression. Use of standard computer programs to analyze the data will be incorporated.

Prerequisite(s): MATH 210 or equivalent.