ETF1100: Business statistics
Faculty of Business and Economics
![Business statistics](/images/units/ETF1100.webp)
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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.
Assessment
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.
Workload
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.