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ETF1100: Business statistics

Faculty of Business and Economics

Business statistics

Check the Handbook for the latest unit information.


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.


1 - Within semester assessment - 50% 2 - Examination - 50% Hurdle description: This unit contains a hurdle requirement that you must achieve to be able to pass the unit. The consequence of not achieving a hurdle requirement is a fail grade (NH) and a maximum mark of 45 for the unit.


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.