Units / ETM5900
ETM5900 · Business statistics
2026 Handbook6 credit pointsLevel 5Department of Econometrics and Business Statistics
Last checked: 23 Aug 2026 UTCOverview
You will learn to use basic statistical techniques and apply them to problems in accounting, finance, management, marketing, and business in general. You should also be able to effectively communicate the results of your analyses. This unit covers descriptive statistics for revealing the information contained in data; probability as a tool for dealing with uncertainty; probability distributions to model business behaviour; confidence interval estimation and hypothesis testing techniques for single populations; analysis of relationships between variables using simple linear regression; and simple tools for forecasting time series data. Applications to critical analysis of business and economic data will be emphasised. Excel software will be used.
Offerings
| Campus | Teaching period | Mode |
|---|---|---|
| Malaysia | Second semester | Teaching activities are on-campus (ON-CAMPUS) |
Assessment
The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.
| # | Assessment | Type | Weight | Hurdle |
|---|---|---|---|---|
| 1 | 1 - Written | Written | 50% | — |
| 2 | 2 - Project | Project | 50% | — |
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Requisites
prohibitions
- ETB1100 — Business statistics
- ETC1000 — Business and economic statistics
- ETC5900 — Business statistics
- ETF1100 — Business statistics
- ETF5900 — Business statistics
- ETW1001 — Introduction to statistical analysis
- FIT1006 — Business information analysis
- SCI1020 — Introduction to statistical reasoning
- STA1010 — Statistical methods for science
Joined by OR.
Learning outcomes
- critically evaluate business data using descriptive statistics techniques, including the use of Excel spreadsheet functions
- critically analyse the role statistical inference to a single population
- evaluate the relationship between variables in decision making using the concept of correlation and linear regression
- formulate statistical report writing.
Workload
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.
| Activity | Duration |
|---|---|
| Tutorials | 24 hours |
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