ETB1100 Business statistics
Faculty of Business and Economics
ETB1100 Business statistics is a level 1, 6-credit-point, undergraduate unit from the Faculty of Business and Economics, offered in 2024 in Semester 2 at Peninsula. It has no prerequisites and unlocks 26 units, leading on to 128 units in all.
- Credit points
- 6
- Offered in 2024
- Semester 2
- Peninsula
- Assessment
- Exam 40%
- and 1 other task
- Workload
- 144 hours
- per semester
This is the 2024 handbook entry. See the 2027 entry.
Reviews
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Requisites
Before ETB1100
Prohibitions
You can't enrol if you have passed any of these.
- ETF1100Business statisticsNo reviews yet
- STA1010Statistical methods for scienceNo reviews yet
- ETW1001Introduction to statistical analysisNo reviews yet
- ETX1100Business statisticsNo reviews yet
- ETC1000Business and economic statisticsNo reviews yet
- FIT1006Business information analysisNo reviews yet
- SCI1020Introduction to statistical reasoningNo reviews yet
After ETB1100
26 units list ETB1100 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
- ETX2250Data visualisation and analyticsNo reviews yet
- MKB2705Research methods and analysisNo reviews yet
- MKC2500Marketing research analysisNo reviews yet
Enrolment rules
To be successful in this unit, background knowledge and application of maths is required at the equivalent of VCE Year 11 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
You will learn to use basic statistical techniques and apply them to problems in accounting, finance, management, marketing and business in general. You should also be able to effectively communicate the results of your analysis. 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 for single populations; analysis of relationships between variables using simple linear regression; and simple tools for forecasting time series data. Excel software will be used.
Offerings in 2024
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Peninsula | Flexible |
Assessment
- Within semester assessment60%
- Examination40%
Learning outcomes
When you finish this unit, you should be able to:
- 1
interpret business data using descriptive statistics techniques, including the use of spreadsheet functions
- 2
apply simple concepts of probability and probability distributions to problems in business decision-making
- 3
describe the role of statistical inference and applying inference methods to single population means
- 4
evaluate relationships between variables for business decision-making, using the concept of correlation and simple linear regression
- 5
apply suitable statistical techniques for describing and forecasting time series data.
Workload and teaching
- Lectures24 hours
- Tutorials24 hours
- Teaching approachActive learning
- Teaching approachProblem-based 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.
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.
Contacts
- Chief Examiners
- Ms Geraldine Roberts
Common questions
What are the prerequisites for ETB1100?
ETB1100 has no prerequisites, but enrolment rules apply.
What can I take after ETB1100?
ETB1100 is a prerequisite or corequisite for 26 units, including ACX3300, BFF2701, ECF3800, ETB2111, ETC1010 and ETC2410. Those lead on to 128 units in all.
When is ETB1100 offered?
In 2024, ETB1100 runs in Semester 2 at Peninsula.
How much work is ETB1100?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETB1100 have an exam?
Yes. The exam is worth 40% of the final mark, alongside 1 other task.