Unit details
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Learning Outcomes
1. | Identify business and economic data graphically and numerically. Explain relationships between graphs and numerical data. Explain the relationships between statistics and elementary probability; | ||
2. | Distinguish distributions drawn from discrete and continuous data, e.g. binomial and normal distributions; | ||
3. | Generate forecasts in business and economic contexts; | ||
4. | Apply appropriate software such as Excel in modelling and problem solving; | ||
5. | Predict relevant relations between economic variables using regression models; | ||
6. | Formulate and explain a hypothesis arising out of a given regression model; and, | ||
7. | Undertake calculations to support statistical methods. |
Assessment
Melbourne campuses
Students studying under the VU Block Model.
Assessment type | Description | Grade |
---|---|---|
Test | In-class quizzes - 3 progressive assessments (3 x 5%) | 15% |
Test | Progressive In-class tests (2 x 10%) | 20% |
Project | Assignment - 3 progressive assessments (5%, 15%, 15%) | 35% |
Project | Case Studies | 30% |
Other locations
Assessment type | Description | Grade |
---|---|---|
Test | Test (1 hour) | 15% |
Assignment | Portfolio of 7 tasks | 35% |
Examination | Final examination (2.5 hours) | 50% |
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