ETF1100 Business statistics
Faculty of Business and Economics
ETF1100 Business statistics is a level 1, 6-credit-point, undergraduate unit from the Faculty of Business and Economics, offered in 2025 in Semester 1 and Semester 2 at Caulfield. It has no prerequisites and unlocks 28 units, leading on to 132 units in all.
- Credit points
- 6
- Offered in 2025
- Semester 1, Semester 2
- Caulfield
- Assessment
- Exam 50%
- and 3 other tasks
- Workload
- 144 hours
- per semester
This is the 2025 handbook entry. See the 2027 entry.
Reviews
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Requisites
Before ETF1100
Prohibitions
You can't enrol if you have passed any of these.
- ETB1100Business statisticsNo reviews yet
- ETC1000Business and economic statisticsNo reviews yet
- STA1010Statistical methods for scienceNo reviews yet
- ETW1001Introduction to statistical analysisNo reviews yet
- ETX1100Business statisticsNo reviews yet
- FIT1006Business information analysisNo reviews yet
- SCI1020Introduction to statistical reasoningNo reviews yet
After ETF1100
28 units list ETF1100 as a prerequisite or corequisite.
- ACX3300Predictive analytics in accountingNo reviews yet
- BFF2701Equity marketsNo reviews yet
- ECF3800The wealth and poverty of nationsNo reviews yet
- ETB2111Business data analyticsNo reviews yet
- ETC1010Introduction to data analysisNo reviews yet
- ETC2410Introductory econometricsNo reviews yet
- ETC2420Statistical thinkingNo reviews yet
- ETC2430Actuarial cash flow modellingNo reviews yet
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- ETC2440Mathematics for economics and businessNo reviews yet
- ETC2520Probability and statistical inference for economics and businessNo reviews yet
- ETC2560Statistical modelling for actuarial studiesNo reviews yet
- ETC3440Introductory econometricsNo 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 analyticsNo reviews yet
- ETX2100Introductory econometricsNo reviews yet
- ETX2250Data visualisation and analyticsNo reviews yet
- FIT3152Data analyticsNo reviews yet
- FIT3158Business decision modellingNo 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 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.
Equivalent units
The same content under another code. Only one of them counts.
Overview
This unit introduces you to the basic foundations of Business Analytics and Statistics. You will learn how to work with data, in conjunction with basic statistics and spreadsheet tools, to solve simple business problems. The unit introduces the appropriate methods to visualise and summarise data, and statistical tools to quantify uncertainty that may arise from data analysis. You will learn how to assess relationships between business variables, and learn how to build basic regression models to capture such relationships in a business context. Spreadsheet optimisation tools that assist in solving business optimisation problems will also be covered. The skills learnt from this unit assist you in developing critical thinking and analytical skills around data and decision making in business.
Offerings in 2025
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Caulfield | On campus |
| Second semester | Caulfield | On campus |
Assessment
- Exercise15%
- Quiz / Test20%
- Written15%
- Examination50%
Learning outcomes
When you finish this unit, you should be able to:
- 1
classify the different data types and construct appropriate data visualisation tools for effective data presentation
- 2
analyse probability in a given business context to support decision making
- 3
apply the concept of random sampling to evaluate uncertainty in statistics and formulate hypothesis testing problems using business data for decision-making
- 4
analyse relationships between business data using appropriate visualisation and statistical tools
- 5
build the simple and multiple regression model in Excel and communicate the results in relevant business contexts, including in a team setting
- 6
solve basic business optimisation problems using Excel.
Workload and teaching
- Seminars24 hours
- Tutorials18 hours
- Teaching approachProblem-based learning
- 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 includes problem-based learning approaches, where you engage in research, integrate theory and practice and apply knowledge and skills to develop viable solutions in response to a problem or set of problems.
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
ETF1100 is part of 5 areas of study in the 2025 handbook.
- BUSSTATS06Core unitsBusiness analytics and statisticsNo reviews yet
- BUSSTATS07a. Core unitsBusiness analytics and statisticsNo reviews yet
- FINECMTR01Core unitsFinancial econometricsNo reviews yet
- SSRSPMGT01Core unitsSustainability and responsible managementNo reviews yet
- SSRSPMGT02Caulfield and Clayton unitsSustainability and responsible managementNo reviews yet
Contacts
- Chief Examiners
- Associate Professor Ole Maneesoonthorn
- Associate Professor Susan Wei
Common questions
What are the prerequisites for ETF1100?
ETF1100 has no prerequisites, but enrolment rules apply.
What can I take after ETF1100?
ETF1100 is a prerequisite or corequisite for 28 units, including ACX3300, BFF2701, ECF3800, ETB2111, ETC1010 and ETC2410. Those lead on to 132 units in all.
When is ETF1100 offered?
In 2025, ETF1100 runs in Semester 1 and Semester 2 at Caulfield.
How much work is ETF1100?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETF1100 have an exam?
Yes. The exam is worth 50% of the final mark, alongside 3 other tasks.
Which majors and minors include ETF1100?
ETF1100 is part of Business analytics and statistics; Financial econometrics; and Sustainability and responsible management.