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HOA 730: Statistical Analysis for Hospitality
A graduate hospitality statistics course focused on practical quantitative reasoning, applied analysis, and confidence with data.
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Description
Course description
A graduate-level applied statistics course for hospitality students. The course focuses on statistical reasoning, interpreting quantitative evidence, and using data analysis to support hospitality research and managerial decisions.
This course introduces hospitality students to statistical thinking and applied analysis. The course page can later include the syllabus, modules, assignments, and examples of course materials.
Objectives
Learning objectives
Apply statistical methods to hospitality, tourism, and gaming examples.
Use data tools to move from analysis output to defensible decisions.
Assessment
Assignments, grading, and scale
Homework and applied practice
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
1Statistical thinking, data types, and hospitality research questions
2Descriptive statistics, visualization, and summarizing hospitality data
3Sampling, uncertainty, confidence intervals, and hypothesis testing
4Comparing groups, t-tests, chi-square tests, and ANOVA
5Correlation, ordinary least squares, and model interpretation
6Multiple regression, assumptions, diagnostics, and applied reporting
7Project workshops, communication, and final analysis presentations
Materials
Course materials, assignments, and links
Syllabus
Downloadable syllabus for the graduate hospitality statistics course.
Open resourcePractice assignments
Homework prompts for summarizing data, confidence intervals, hypothesis tests, correlation, OLS, ANOVA, and multiple regression.
Final project
Final project prompt focused on applied statistical reasoning and communication.
Open resourceMidterm project
Applied midterm project prompt for graduate hospitality statistics.
Open resourceApplied statistics modules
Sample lecture materials on correlation, ordinary least squares, and ANOVA.
R and data analysis resources
Starter R code for working with synthetic hospitality data.
Hospitality datasets
Sample hotel datasets used for applied examples and student practice.