HOSP 3910: Statistical Decision Making
Effective date
September 2026
Department
Hospitality Management App Deg
School
Hospitality, Food Studies and Applied Business
Description
This course offers a contemporary and sophisticated approach to teaching statistics in the context of making good business decisions. Students learn to recognize and understand business questions, use statistical tools to analyze and communicate the results clearly and concisely. The use of statistical software applications will form part of the course. Students will be expected to know, or to acquire on their own, basic Excel skills. The course will use real data to demonstrate real business situations in the hospitality and other sectors.
Year of study
3rd Year Post-secondary
Course Learning Outcomes
Upon successful completion of this course, students will be able to:
- Analyze data and present in a user-appropriate form.
- Calculate and interpret measures of association.
- Recognize and describe the strength and direction of association between two numerical variables.
- Apply probability theory to decision making in a business environment.
- Distinguish between applications of binomial and Poisson random variables, and relate their properties.
- Use estimation and hypothesis testing.
- Describe linear regression and its use in problem solving.
Prior Learning Assessment & Recognition (PLAR)
To learn more about the PLAR pathways for this course review the Bachelor of Hospitality Management Program Content Guide.
Hours
Lecture, Online, Seminar, Tutorial: 45
Total Hours: 45
Instructional Strategies
Lectures, discussions, individual and group work.
Grading System
Letter Grade (A-F)
Evaluation Plan
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Type
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Percentage
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Assessment activity
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Assignments
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10
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homework assignments
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Midterm Exam
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30
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|
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Final Exam
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30
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Quizzes/Tests
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30
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Course topics
- Describing data with graphs and numeric measures
- Probability theory - Discrete and continuous probability distributions
- Sampling distribution and confidence interval
- Tests of hypotheses - one, two, and multiple population
- Sampling method - Correlation
- Simple, linear, and multiple regression
Notes:
- Course contents and descriptions, offerings and schedules are subject to change without notice.
- Students are required to follow all College policies including ones that govern their educational experience at VCC. Policies are available on the VCC website at:
https://www.vcc.ca/about/governance--policies/policies/.
- To find out if there are existing transfer agreements for this course, visit the BC Transfer Guide at https://www.bctransferguide.ca.