ETF5912 - Data analysis in business - 2018

6 points, SCA Band 2, 0.125 EFTSL

Postgraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

Faculty

Business and Economics

Organisational Unit

Department of Econometrics and Business Statistics

Chief examiner(s)

Associate Professor Ann Maharaj

Coordinator(s)

Associate Professor Ann Maharaj

Unit guides

Offered

Caulfield

  • First semester 2018 (On-campus)
  • Second semester 2018 (On-campus)

Prerequisites

Students must have passed one of the following units ETX1100, ETF1100, ETX9000, ETF5900, ETX5900, BFF5951 or AFX9510 or have permission from the unit coordinator.

Prohibitions

ETF9121, ETX2121Not offered in 2018, ETF2121, ETX2111, ETW2111, ETB2111, ETC1010

Synopsis

This unit will introduce statistical concepts and their applications to business sectors of finance, accounting, marketing and management. Topics covered include: sampling techniques, confidence intervals and hypothesis testing (for both single populations and between populations). The multiple regression models and time series models -- that are very popular in data analysis and forecasting in public sectors and industries -- will be covered in detail in this unit.

Outcomes

The learning goals associated with this unit are to:

  1. define different sampling techniques and use Excel to generate samples from these techniques
  2. demonstrate an understanding of the role of inference and hypothesis testing in statistics and their value when applied in financial, marketing and management fields
  3. conduct hypothesis tests for means and proportions of single populations, identify significant differences between two populations in terms of means, proportions and variances and interpret the value of these techniques in business
  4. interpret and analyse the results of a regression analysis using a linear model, a model which incorporates dummy variables, or models involving nonlinear terms.

Assessment

Within semester assessment: 40% + Examination: 60%

Workload requirements

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.

See also Unit timetable information