HOSP 3910: Statistical Decision Making
Effective date
September 2018
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 course uses new technology learning resources to support and enhance student understanding and engagement; in addition to providing cases and real data to demonstrate real business situations in the hospitality sector.
This course is part of the full-time Bachelor of Hospitality Management program.
Year of study
3rd Year Post-secondary
Course Learning Outcomes
Upon successful completion of this course, students will be able to:
- Create, describe and interpret the distribution of a categorical variable and link this distribution to variation.
- Prepare, describe and interpret a histogram that summarizes the distribution of numerical variables.
- Calculate and interpret measures of association for categorical variables, including chi-squared.
- Recognize and describe the strength and direction of association between two numerical variables from a scatterplot, as well as tell whether there is any association between the variables.
- Speak and read the language of probability, including complements, intersections and unions of events, using the rules of probability to find these.
- Use conditional probability to describe dependent events.
- Find the mean and variance of a weighted sum of possibly dependent random variables.
- Distinguish between applications of binomial and Poisson random variables, and relate their properties.
- Combine a mean and standard deviation with a normal model to find the probability of events.
- Find confidence intervals for population proportions and means using a normal distribution or a distribution.
- Perform statistical tests to analyze hospitality management problems
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
Type
|
Percentage
|
Assessment activity
|
Assignments
|
30
|
homework assignments
|
Midterm Exam
|
20
|
|
Final Exam
|
30
|
|
Quizzes/Tests
|
20
|
Quizzes
|
Course topics
- Introduction - What is Statistics?
- Data
- Describing Categorical Data
- Describing Numerical Data
- Association Between Categorical Variables
- Association Between Quantitative Variables
- Probability
- Conditional Probability
- Random Variables
- Association Between Random Variables
- The Normal Probability Model
- Samples and Surveys
- Sampling Variation and Quality
- Confidence Intervals
- Statistical Tests
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.