Units / ETW1001
ETW1001 · Introduction to statistical analysis
2026 Handbook6 credit pointsLevel 1Department of Econometrics and Business Statistics
Last checked: 23 Aug 2026 UTCOverview
This unit introduces you to the key aspects of statistical analysis: descriptive analytics, diagnostic analytics, predictive analytics and prescriptive analytics. In particular, 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; analysis of relationships between variables using linear regression; and simple tools for forecasting time series data. Excel software will be used. You will also be able to effectively communicate the results of your analyses.
Offerings
| Campus | Teaching period | Mode |
|---|---|---|
| Malaysia | October intake teaching period, Malaysia campus | Teaching activities are on-campus (ON-CAMPUS) |
| Malaysia | Second semester | Teaching activities are on-campus (ON-CAMPUS) |
| Malaysia | First semester | Teaching activities are on-campus (ON-CAMPUS) |
Assessment
The Handbook lists an examination for this unit.
| # | Assessment | Type | Weight | Hurdle |
|---|---|---|---|---|
| 1 | 1 - Exercise | Exercise | 15% | — |
| 2 | 2 - Quiz / Test | Quiz / Test | 15% | — |
| 3 | 3 - Written | Written | 30% | — |
| 4 | 4 - Examination | Examination | 40% | — |
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
- ETF1100 — Business statistics
- FIT1006 — Business information analysis
- SCI1020 — Introduction to statistical reasoning
- STA1010 — Statistical methods for science
- ETM1030 — Mathematical statistics
- ETW2001 — Foundations of data analysis
- ETI1100 — Business statistics
Joined by OR.
Learning outcomes
- summarise and interpret global business and economic data using appropriate descriptive techniques
- apply statistical inferential concepts of probability and sampling distributions to solve problems in business and economics
- assess the relevance and usefulness of predictive modelling to address business and economic challenges
- communicate statistical results to stakeholders effectively to propose business and economic solutions as a team.
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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