units

ETF5912

Faculty of Business and Economics

18 September 2017 22 December 2024
Monash University

Postgraduate - Unit

This unit entry is for students who completed this unit in 2015 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.

print version

6 points, SCA Band 2, 0.125 EFTSL

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

LevelPostgraduate
FacultyFaculty of Business and Economics
Organisational UnitDepartment of Econometrics and Business Statistics
OfferedCaulfield First semester 2015 (Day)
Caulfield Second semester 2015 (Day)
Coordinator(s)Associate Professor Elizabeth Maharaj (First semester); Mr Bruce Stephens (Second semester)

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 (First semester)
Mr Bruce Stephens (Second semester)

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