HADM 5502: Hospitality Quantitative Analysis II
Elective - 3 credit hours - Letter grade only
Offered Spring only
Prerequisite(s): HADM 2201(formerly HADM 201), equivalent or permission of instructor
Limited to Hotel students.
Faculty teaching this course in Spring 10:
The course introduces students to topics in statistics that can be utilized by corporate or business leaders to aid in decision making. It builds upon the statistical knowledge gained from HADM 2201(formerly HADM 201), including in-depth statistical techniques which may not be mainstream within the hospitality industry today, but which are growing in importance. Topics include: more multiple regression; simple and multiple logistic regression; one and two factor ANOVA, with multiple comparison procedures; chi-squared tests of independence of categorical factors; tests of proportions; and predicting and forecasting with artificial neural networks. Computational programs include Minitab (used in HADM 2201(formerly HADM 201)) and Alyuda NeuroIntelligence.