UnitLevel 1Undergraduate

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 2023 in Semester 1 and Semester 2 at Caulfield. It has no prerequisites and unlocks 29 units, leading on to 130 units in all.

Credit points: 6
Offered in 2023: Semester 1, Semester 2; Caulfield
Assessment: Exam 50%; and 1 other task
Workload: 144 hours; per semester

This is the 2023 handbook entry. See the 2027 entry.

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Requisites

Before ETF1100

Prohibitions

You can't enrol if you have passed any of these.

One of

After ETF1100

29 units list ETF1100 as a prerequisite or corequisite.

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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

You will learn to use basic statistical techniques and apply them to problems across a range of areas in business. A particular focus is equipping you to effectively interpret and communicate the results of your analyses. The unit covers a range of topics including; descriptive statistics applied to both categorical and numerical data, such as using tables, charts, standardisation techniques and measures of location and dispersion on grouped and ungrouped data; analysis of the relationships between variables using correlation, simple and multiple linear regression, including extensions to categorical explanatory variables and time series data with applications to forecasting; the concept of sampling as a way of understanding the characteristics of the population of interest; constructing and interpreting confidence intervals; fundamentals of hypothesis testing including testing hypotheses about the mean, proportions, differences between means and slope coefficients in linear regression. Relevant business software, such as Excel, will be used.

Offerings in 2023

Teaching period	Campus	Mode
First semester	Caulfield	On campus
Second semester	Caulfield	On campus

Assessment

Within semester assessment
50%
ExaminationThreshold hurdle
50%

Learning outcomes

When you finish this unit, you should be able to:

1
apply the main ideas of probability theory to business decision-making
2
interpret business data using tables, charts and descriptive statistical techniques, applying standardisation where appropriate
3
describe the concept of a sampling distribution, understand sample estimators and their properties
4
interpret and evaluate relationships between variables for business decision-making using simple and multiple linear regression
5
undertake inference on single and multiple populations examining differences between means, proportions and regression coefficients for business decision-making.

Workload and teaching

Tutorials24 hours
Lectures24 hours
Seminars24 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. 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.

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.

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 3 areas of study in the 2023 handbook.

Contacts

Chief Examiners: Ms Charanjit Kaur; Associate Professor Ole Maneesoonthorn

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 29 units, including ACX3300, BFF2701, ECF3800, ETB2111, ETC1010 and ETC2410. Those lead on to 130 units in all.

When is ETF1100 offered?

In 2023, 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 1 other task.

Which majors and minors include ETF1100?

ETF1100 is part of Business analytics and statistics; and Financial econometrics.

More details

Credit points: 6
Level: 1
Study level: Undergraduate
Faculty: Faculty of Business and Economics
Organisational unit: Department of Econometrics and Business Statistics

Type: Coursework
EFTSL: 0.125
Student contribution: SCA Band 1
Study abroad: Available
Handbook years: 2020 2021 202220232024 2025 2026 2027