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HOA 732: Advanced Statistical Analysis for Hospitality

An advanced graduate hospitality statistics course focused on applied modeling, interpretation, and supporting students through technical material.

Class moments

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Activity

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Student work

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Description

Course description

An advanced statistics course for hospitality graduate students, emphasizing applied modeling, interpretation, and quantitative methods that support hospitality research. The course builds toward more independent analysis and clearer communication of technical findings.

This course builds on statistical analysis for hospitality students and emphasizes clear explanation, applied examples, model interpretation, and student support.

Objectives

Learning objectives

01

Use advanced statistical models in hospitality and tourism contexts.

02

Interpret model results with attention to assumptions, limitations, and managerial meaning.

03

Translate technical analysis into clear explanations for research and practice.

Assessment

Assignments, grading, and scale

Written-in-class activities 20%, Midterm modeling project 30%, Final applied modeling project 40%, Participation and technical preparation 10%
20%

Written-in-class activities

Due date TBD

A93% and above
A-90% to 92.9%
B+87% to 89.9%
B83% to 86.9%
B-80% to 82.9%
C+77% to 79.9%
C73% to 76.9%
C-70% to 72.9%
D60% to 69.9%
FBelow 60%

Schedule

Weekly schedule

WeekTopic
1Advanced modeling review, research design, and applied hospitality examples
2Decision trees, model splits, validation, and interpretation
3Random forests, ensemble logic, and variable importance
4Classification, prediction, and evaluating model performance
5Model explanation, communication, and methodological limitations
6Midterm and final project workshops
7Final presentations and applied model reporting

Materials

Course materials, assignments, and links

Assignment

Decision tree activity

A written-in-class activity using decision trees, book club data, and Boston housing data.

Open resource
Assignments

Random forest activity

A written-in-class activity using random forests and German credit data.

Open resource
Project

Final project

Final project prompt for applied modeling, interpretation, and communication.

Open resource
Project

Midterm project

Midterm project prompt for advanced statistical analysis.

Open resource