Units / ETW1001
ETW1001 · Introduction to statistical analysis
2027 Handbook6 credit pointsLevel 1Department of Econometrics and Business Statistics
Overview
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 | First semester | Teaching activities are on-campus (ON-CAMPUS) |
| Malaysia | October intake teaching period, Malaysia campus | Teaching activities are on-campus (ON-CAMPUS) |
| Malaysia | Second 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
prohibition
OR
ETC1000Business and economic statistics6 cpOR
ETF1100Business statistics6 cpOR
FIT1006Business information analysis6 cpOR
SCI1020Introduction to statistical reasoning6 cpOR
STA1010Statistical methods for science6 cpOR
ETM1030Mathematical statistics6 cpOR
ETW2001Foundations of data analysis 6 cpOR
ETI1100Business statistics6 cpLearning 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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