ETC1000 Business and economic statistics
Faculty of Business and Economics
ETC1000 Business and economic statistics is a level 1, 6-credit-point, undergraduate unit from the Faculty of Business and Economics, offered in 2026 in Semester 1 and Semester 2 at Clayton. It has no prerequisites and unlocks 28 units, leading on to 134 units in all.
- Credit points
- 6
- Offered in 2026
- Semester 1, Semester 2
- Clayton
- Assessment
- Exam 40%
- and 3 other tasks
- Workload
- 144 hours
- per semester
This is the 2026 handbook entry. See the 2027 entry.
Reviews
No reviews yetNo reviews yet. Be the first to review ETC1000.
Requisites
Before ETC1000
Prohibitions
You can't enrol if you have passed any of these.
- ETB1100Business statisticsNo reviews yet
- ETF1100Business statisticsNo reviews yet
- ETW1001Introduction to statistical analysisNo reviews yet
- FIT1006Business information analysisNo reviews yet
- SCI1020Introduction to statistical reasoningNo reviews yet
- STA1010Statistical methods for scienceNo reviews yet
- ETX1100Business statisticsNo reviews yet
- ETI1100Business statisticsNo reviews yet
After ETC1000
28 units list ETC1000 as a prerequisite or corequisite.
- ACX3300Predictive analytics in accountingNo reviews yet
- BFF2701Equity marketsNo reviews yet
- ECC3479Data and evidence in economicsNo reviews yet
- ECF3800The wealth and poverty of nationsNo reviews yet
- ETC1010Introduction to data analysisNo reviews yet
- ETC2410Introductory econometricsNo reviews yet
- ETC2420Statistical thinkingNo reviews yet
- ETC2430Actuarial cash flow modellingNo reviews yet
Show 20 more
- ETC2440Mathematics for economics and businessNo reviews yet
- ETC2520Probability and statistical inference for economics and businessNo reviews yet
- ETC2560Statistical modelling for actuarial studiesNo reviews yet
- ETC5252Probability and statistical inference for economics and businessNo reviews yet
- ETC5256Statistical modelling for actuarial studiesNo reviews yet
- ETF2020Statistical foundations of business analyticsNo reviews yet
- ETF2100Introductory econometricsNo reviews yet
- ETF2121Data analysis in businessNo reviews yet
- ETF2480Optimisation for businessNo reviews yet
- ETF5202Statistical foundations of business analyticsNo reviews yet
- ETF5650Business optimisation skillsNo reviews yet
- ETF5910Introductory applied econometricsNo reviews yet
- ETF5912Data analysis in businessNo reviews yet
- ETF5922Data visualisation and communicationNo reviews yet
- ETX2100Introductory econometricsNo reviews yet
- ETX2250Data visualisation and communicationNo reviews yet
- FIT3152Data analyticsNo reviews yet
- FIT3158Business decision modellingNo reviews yet
- MKC2130Fundamentals of marketing analyticsNo reviews yet
- MKC2500Marketing research analysisNo reviews yet
Enrolment rules
If you are enrolled in course B2007 you cannot undertake this unit.
To be successful in this unit, background knowledge and application of maths is required at the equivalent of VCE Year 12 Higher level. You may have satisfied this by completing relevant prerequisite unit/s, or you have covered relevant topics in your final years of secondary study. You should self-assess your maths competency prior to enrolling in this unit.
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 in 2026
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | Blended |
| Second semester | Clayton | Blended |
Assessment
- Exercise20%
- Quiz / Test20%
- Project20%
- Examination40%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Learning outcomes
When you finish this unit, you should be able to:
- 1
FIRST SEMESTER: interpret business and economic data using tables, charts and descriptive statistics techniques, applying standardisation techniques where appropriate
SECOND SEMESTER: analyse business and economic data using quantitative methods to inform evidence-based decision-making
- 2
FIRST SEMESTER: describe the concept of a sampling distribution, estimators and their properties
SECOND SEMESTER: apply probability concepts to model uncertainty and assess risk in business and economic contexts
- 3
FIRST SEMESTER: make inference on single and multiple population means, difference between means and the slope for business and economic decision-making
SECOND SEMESTER: analyse multi-variable data to draw conclusions for business and economic decision-making
- 4
FIRST SEMESTER: interpret and evaluate relationships between variables for business and economic decision-making using simple and multiple linear regression
SECOND SEMESTER: communicate statistical findings using appropriate formats, collaborating in teams to present evidence-based insights for business audiences
- 5
FIRST SEMESTER: apply the main ideas of probability theory to business and economic decision-making.
SECOND SEMESTER: evaluate academic and industry sources to justify conclusions in business and economic contexts.
Workload and teaching
- Lectures18 hours
- Workshops12 hours
- Tutorials18 hours
- Teaching approachActive learning
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.
This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.
Learning resources
Technology resources
There may be an additional cost associated with purchasing a physical and/or virtual calculator. Specific details will be provided in the Learning Management System by commencement of Orientation week.
Where it fits
ETC1000 is part of 5 areas of study in the 2026 handbook.
- ECONOMTR02Core unitsEconometricsNo reviews yet
- ECONOMTR05Core unitsEconometricsNo reviews yet
- SUPCNMGT02Additional Supply chain management unitsSupply chain managementNo reviews yet
- SSRSPMGT01Core unitsSustainability and responsible managementNo reviews yet
- SSRSPMGT02Caulfield and Clayton unitsSustainability and responsible managementNo reviews yet
Contacts
- Chief Examiners
- Dr Minh Huynh
- Professor Brett Inder
Common questions
What are the prerequisites for ETC1000?
ETC1000 has no prerequisites, but enrolment rules apply.
What can I take after ETC1000?
ETC1000 is a prerequisite or corequisite for 28 units, including ACX3300, BFF2701, ECC3479, ECF3800, ETC1010 and ETC2410. Those lead on to 134 units in all.
When is ETC1000 offered?
In 2026, ETC1000 runs in Semester 1 and Semester 2 at Clayton.
How much work is ETC1000?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETC1000 have an exam?
Yes. The exam is worth 40% of the final mark, alongside 3 other tasks.
Which majors and minors include ETC1000?
ETC1000 is part of Econometrics; Supply chain management; and Sustainability and responsible management.