Statistical Analysis for Management
Credit points
(Generally, 1 credit = 10 hours of classes and independent study.)
Location
Prerequisites
Co-requisites
(Corequisite units must be studied concurrently with this unit)
Overview
This unit will provide students with an understanding of business statistics and basic statistical techniques. As the hotel and hospitality sector continues its digital transformation, it is critical for managers to have the technical skills required to understand and interpret the large amounts of data available to them, and apply basic techniques to synthesise this data into useful information that supports decision making. In this unit, students will analyse real-world data sets and apply these to a range of practical case studies.
Learning Outcomes
On successful completion of this unit, students will be able to:
- Interpret and apply basic statistical techniques, graphs and numerical data sets;
- Locate, analyse and interpret appropriate secondary data sets, and to apply these to solve hospitality and hotel management problems;
- Analyse and interpret primary data sets, demonstrating the ability to select appropriate software and tools (such as Spreadsheets) to carry out basic modelling and problem solving;
- Formulate statistical forecasts in business, hotel and hospitality contexts; and
- Present basic statistical information to others.
Assessment
For Melbourne campuses
Assessment type: Test | Grade: 20%
Weekly online tests
Assessment type: Case Study | Grade: 20%
Industry case study
Assessment type: Project | Grade: 30%
Industry project
Assessment type: Examination | Grade: 30%
Final xxamination
Required reading
Basic Business Statistics eBook,
Berenson, M., Levine, D., Szabat, K., O’Brien, M, Watson, J., Jayne, N., 2015, | Pearson, Australia.
As part of a course
This unit is not compulsory for any specific course. Depending on the course you study, this unit may be taken as an elective.