HADM 2010 - Hospitality Quantitative Analysis

Fall, spring. 3 credits. Letter grades only.

Prerequisite: high school algebra. Enrollment limited to: SHA students. Required.

R. Lloyd.

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 methodology. Statistical methods covered include estimation and hypothesis testing relating to one- and two-sample problems of means, simple linear regression, and multiple regression. Problems involving multiple means (one-way ANOVA) are covered as a special case of multiple regression, time allowing. Excel is used as the statistical computing software.

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.