ETF2020 Statistical foundations of business analytics
Faculty of Business and Economics
ETF2020 Statistical foundations of business analytics is a level 2, 6-credit-point, undergraduate unit from the Faculty of Business and Economics, offered in 2023 in Semester 2 at Caulfield. It needs ETC1000, STA1010, ETF1100, ETW1001, ETX1100, FIT1006, ETB1100 or SCI1020 and unlocks 6 units, leading on to 10 units in all.
- Credit points
- 6
- Offered in 2023
- Semester 2
- Caulfield
- Assessment
- Exam 60%
- and 1 other task
- Workload
- 144 hours
- per semester
This is the 2023 handbook entry. See the 2027 entry.
Reviews
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Requisites
Before ETF2020
Prohibitions
You can't enrol if you have passed any of these.
Prerequisites
Pass these before you enrol.
- ETC1000Business and economic statisticsNo reviews yet
- STA1010Statistical methods for scienceNo reviews yet
- ETF1100Business statisticsNo reviews yet
- ETW1001Introduction to statistical analysisNo reviews yet
- ETX1100Business statisticsNo reviews yet
- FIT1006Business information analysisNo reviews yet
- ETB1100Business statisticsNo reviews yet
- SCI1020Introduction to statistical reasoningRated 5.0 out of 5 from 1 review
After ETF2020
6 units list ETF2020 as a prerequisite or corequisite.
- ETF3210Econometrics and statistics for energy and climateNo reviews yet
- ETF3231Business forecastingNo reviews yet
- ETF3500High dimensional data analysisNo reviews yet
- ETF5321Econometrics and statistics for energy and climateNo reviews yet
- ETF5500High dimensional data analysisNo reviews yet
- ETX3250Predictive analytics and machine learningNo reviews yet
Enrolment rules
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
The business world is characterised by decision making in an environment of risk. To gain a deeper understanding of the tools and models used in business analytics, a strong foundation in probability and statistics is required. Probability provides a "language" for thinking about risk, while statistics provides a framework for making data-driven inferences and predictions. This unit provides a strong grounding in these fundamentals. Some of the topics covered may include risk v uncertainty v probability, famous statistical paradoxes, decision theory, frameworks for statistical inference (frequentist, Bayesian, etc.) and simulation and re-sampling. Examples from real world business problems will be used to motivate each topic.
Offerings in 2023
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Caulfield | On campus |
Assessment
- Within semester assessment40%
- Examination60%
Learning outcomes
When you finish this unit, you should be able to:
- 1
think and communicate about risk in a probabilistic way and apply this thinking to a business problem
- 2
understand random variables, statistical distributions and conditional probability
- 3
appreciate how conditional probabilities can be misinterpreted in business settings and how this is overcome with Bayes’ Rule
- 4
frame a business problem using probability and statistics and make data-driven decision in the presence of risk
- 5
apply the main methods of statistical estimation, prediction and inference and evaluate their properties
- 6
evaluate and choose between different statistical models.
Workload and teaching
- Seminars24 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. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.
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
ETF2020 is part of 2 areas of study in the 2023 handbook.
Contacts
- Chief Examiners
- Associate Professor Bin Peng
Common questions
What are the prerequisites for ETF2020?
You need ETC1000, STA1010, ETF1100, ETW1001, ETX1100, FIT1006, ETB1100 or SCI1020 before you enrol. Enrolment rules also apply.
What can I take after ETF2020?
ETF2020 is a prerequisite or corequisite for 6 units, including ETF3210, ETF3231, ETF3500, ETF5321, ETF5500 and ETX3250. Those lead on to 10 units in all.
When is ETF2020 offered?
In 2023, ETF2020 runs in Semester 2 at Caulfield.
How much work is ETF2020?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETF2020 have an exam?
Yes. The exam is worth 60% of the final mark, alongside 1 other task.
Which majors and minors include ETF2020?
ETF2020 is part of Business analytics and statistics.