Units / FIT1006
FIT1006 · Business information analysis
2026 Handbook6 credit pointsLevel 1Faculty of Information Technology
Last checked: 23 Aug 2026 UTCOverview
This unit is designed to give you an introduction to statistical and quantitative methods within a business-related framework and to provide you with a sound foundation for more advanced statistical and quantitative studies. The unit will provide opportunities for you to gain skills in the presentation of business and economic data, the use of frequency distributions, measures of central tendency and dispersion, principles of probability, use of probability distributions, sampling theory, estimation, hypothesis testing, regression analysis, the use of indices and forecasting methods.
Areas of study: Business information systems IT for business
Offerings
| Campus | Teaching period | Mode |
|---|---|---|
| Clayton | First semester | Some activities have a choice of on-campus or online teaching activities (FLEXIBLE) |
Assessment
The Handbook lists an examination for this unit.
| # | Assessment | Type | Weight | Hurdle |
|---|---|---|---|---|
| 1 | Online quiz | Quiz / Test | 2% | — |
| 2 | Assignment 1 | Exercise | 18% | — |
| 3 | Assignment 2 | Exercise | 30% | — |
| 4 | Final Examination | Examination | 50% | — |
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Requisites
The Handbook lists no prerequisite, corequisite or prohibition for this unit.
Learning outcomes
- Perform and justify the use of appropriate descriptive and inferential statistical analyses such as standard deviation, t-tests, and Pearson's correlation coefficients;
- Communicate the results of statistical analysis effectively and accurately;
- Create graphics and tables for effective communication of the results of data analysis;
- Analyse the factors that make statistics reliable, credible and trustworthy.
Workload
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.
| Activity | Duration |
|---|---|
| Applied sessions | 22 hours |
| Seminars | 24 hours |
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