HADM 2010 - Hospitality Quantitative Analysis

Fall, Spring. 3 credits. Letter grades only (no audit).

Forbidden Overlap: due to an overlap in content, students will receive credit for only one course in the following group: AEM 2100, BTRY 3010, BTRY 6010, ENGRD 2700, HADM 2010, ILRST 2100, ILRST 6100, MATH 1710, NTRES 3130, PAM 2100, PAM 2101, PSYCH 2500, PSYCH 3500, SOC 3010, STSCI 2150, STSCI 2200.
Prerequisite: HADM 1740. Enrollment limited to: SHA students. Satisfies Core requirement for SHA students.

Fall, J. Chestnut; Spring, E. Belavina.

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.

Outcome 1: PLO 1.1: Students will identify key issues and appropriately apply discipline principles to analyze a hospitality management solution.

Outcome 2: PLO 1.2: Students will critically evaluate a hospitality management problem and will formulate a solution based on principles from at least two management disciplines.

Outcome 3: PLO 2.4: Students will demonstrate effective use of information technology.