units

ETF5912

Faculty of Business and Economics

18 September 2017 22 November 2024

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This unit entry is for students who completed this unit in 2016 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

Monash University

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

Coordinator(s)

Associate Professor Elizabeth Maharaj

Offered

Caulfield

  • First semester 2016 (Day)
  • Second semester 2016 (Day)

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. Prerequisites ETX1100, BFF5951 or AFX9510 will not apply to students who enrol in the Graduate Diploma in Applied Econometrics.

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

Chief examiner(s)

Associate Professor Elizabeth Maharaj

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, ETX2121, ETF2121, ETX2111, ETW2111, ETB2111, ETC1010