HADM 2011

Hospitality Quantitative Analysis

Course Description

Course information provided by the 2026-2027 Catalog.

This introductory statistics course is taught from the perspective of solving problems and making decisions within the hospitality industry. Students learn introductory probability, as well as how to gather data, evaluate the quality of data, graphically represent data, and apply some fundamental statistical methodologies. Statistical methods covered include: estimation and hypothesis testing relating to one- and two-sample problems of means, simple linear regression, and multiple regression. Excel is used as the statistical computing software and the class uses a very hands-on approach.

Prerequisites HADM 1740 or HADM 2740.

Forbidden Overlaps AEM 2100, CEE 3040, CRP 1200, ENGRD 2700, HADM 2010, HADM 2011, ILRST 2100, ILRST 6100, MATH 1710, PSYCH 2500, PUBPOL 2100, PUBPOL 2101, SOC 3010, STSCI 2100, STSCI 2150, STSCI 2200, STSCI 6010. In addition, no credit for MATH 1710 if taken after ECON 3130, ECON 3140, MATH 4720, or any other upper-level course focusing on the statistical sciences

Enrollment Priority Enrollment limited to: NSHA students.

Distribution Requirements (DLS-AG, MQL-AG, OPHLS-AG)

Last 4 Terms Offered 2026SP, 2025FA, 2025SP, 2024FA

Learning Outcomes

• Students will identify key issues and appropriately apply discipline principles to analyze a hospitality management solution.
• Students will critically evaluate a hospitality management problem and will formulate a solution based on principles from at least two management disciplines.
• Students will demonstrate effective use of information technology.

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