OPIM-172 Statistical Models for Business

Faculty:

Baker, Kelly

Students are expected to be already familiar with data analysis, probability and uncertainty, and basic statistical inference. We examine statistical model building for business processes for the purposes of understanding variability and making forecasts. A detailed development of multiple regression analysis is complemented by some study of time series analysis. The objective is to demonstrate the effectiveness of statistical modeling in guiding managerial decision-making. The statistical analysis of large data sets is an integral part of modern business practice. Accordingly, both spreadsheets and statistical software will be used throughout the course. Note: This course is designed for students who already have taken a first course in statistics. Formerly offered as DSCI 172.

Credits: 2

Prerequisites: MSB Students with AP Statistics credit and appropriate transfers only

Other academic years
There is information about this course number in other academic years:

• 2005-2006 Fall and Spring
• 2006-2007 Fall and Spring
• 2007-2008 Fall and Spring
• 2008-2009 Fall and Spring
• 2009-2010 Fall and Spring
• 2010-2011 Fall and Spring
• 2011-2012 Fall and Spring
• 2012-2013 Fall and Spring

More information
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