Units / ETC1000
ETC1000 · Business and economic statistics
2027 Handbook6 credit pointsLevel 1Department of Econometrics and Business Statistics
Overview
In this unit, you will learn how to analyse and interpret data to support evidence-based decision-making in business and economics. You will explore methods for summarising data, including tables, charts, and measures of central tendency and dispersion. Key topics include standardisation techniques, regression analysis, and the use of probability and sampling to understand uncertainty. The unit also covers statistical inference, including confidence intervals and hypothesis testing. Throughout, you’ll apply these concepts to real-world scenarios, developing practical skills in data analysis.
Offerings
| Campus | Teaching period | Mode |
|---|---|---|
| Clayton | Second semester | Activities scheduled as a mix of on-campus and online activities (BLENDED) |
| Clayton | First semester | Activities scheduled as a mix of on-campus and online activities (BLENDED) |
Assessment
The Handbook lists an examination for this unit.
| # | Assessment | Type | Weight | Hurdle |
|---|---|---|---|---|
| 1 | 1 - Exercise | Exercise | 20% | — |
| 2 | 2 - Quiz / Test | Quiz / Test | 20% | — |
| 3 | 3 - Project | Project | 20% | — |
| 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
prohibition
OR
ETF1100Business statistics6 cpOR
ETW1001Introduction to statistical analysis6 cpOR
FIT1006Business information analysis6 cpOR
SCI1020Introduction to statistical reasoning6 cpOR
STA1010Statistical methods for science6 cpOR
ETX1100Business statistics6 cpOR
ETI1100Business statistics6 cpLearning outcomes
- analyse business and economic data using quantitative methods to inform evidence-based decision-making
- apply probability concepts to model uncertainty and assess risk in business and economic contexts
- analyse multi-variable data to draw conclusions for business and economic decision-making
- communicate statistical findings using appropriate formats, collaborating in teams to present evidence-based insights for business audiences
- evaluate academic and industry sources to justify conclusions in business and economic contexts.
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 |
|---|---|
| Lectures | 18 hours |
| Workshops | 12 hours |
| Tutorials | 18 hours |
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