ETB1100 · Monash University
Business statistics
- Credit points
- 6
- Level
- 1
- Workload
- ≈ 12 h / week
- Faculty
- Business and Economics
What it covers
You will learn to collect, analyse and interpret business data to support evidence-based decisions in areas such as accounting, finance, management and marketing, and to clearly communicate your findings. Statistical techniques are introduced as tools for real problems: summarising and visualising data to reveal patterns, using probability to reason about risk, applying inference to judge whether observed effects are credible, modelling relationships between variables with regression to inform recommendations, and using time series methods to make short-term forecasts. You will also critically use AI-enabled digital tools in regression analyses of equity-related issues, evaluating their outputs and limitations while reflecting on implications for diversity and inclusion in business decision-making. Excel software will be used.
Assessment
| Task | Type | Weight |
|---|---|---|
| 4 - Examination | Examination | 50% |
| 2 - Quiz / Test | Quiz / Test | 10% |
| 1 - Exercise | Exercise | 15% |
| 3 - Written | Written | 25% |
When and where
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Peninsula | Blended |