Subject: QUMM

Term: Spring 2009

QUMM 414: Statistics and Decision Modeling (100/8479)

S 01:45-04:15 PM Jan 24-Jan 24, S 01:45-04:15 PM Feb 07-Feb 07, S 01:45-04:15 PM Feb 21-Feb 21, S 01:45-04:15 PM Mar 07-Mar 07, S 01:45-04:15 PM Mar 21-Mar 21, S 01:45-04:15 PM Apr 04-Apr 04, S 01:45-04:15 PM Apr 18-Apr 18, S 01:45-04:15 PM May 02-May 02

Salkin, H

This course provides the foundations of statistical and operations research methodologies for managerial decision-making. Business statistics focuses on statistical thinking as one of the fundamentals of effective management. Topics covered include sampling and the normal distribution, making inferences from data via confidence intervals and hypothesis tests, and analyzing relationships between samples. Decision modeling of organizational systems uses mathematical and computer models to provide a quantitative perspective on identifying, analyzing and solving complex decision problems. This course includes an introduction to linear programming models and applications, simulation techniques in decision-making, and project management.

QUMM 414: Statistics and Decision Modeling (101/8481)

W 06:00-08:00 PM Jan 12-Apr 22

Polomsky, M

This course provides the foundations of statistical and operations research methodologies for managerial decision-making. Business statistics focuses on statistical thinking as one of the fundamentals of effective management. Topics covered include sampling and the normal distribution, making inferences from data via confidence intervals and hypothesis tests, and analyzing relationships between samples. Decision modeling of organizational systems uses mathematical and computer models to provide a quantitative perspective on identifying, analyzing and solving complex decision problems. This course includes an introduction to linear programming models and applications, simulation techniques in decision-making, and project management.