units

ETF9121

Faculty of Business and Economics

Postgraduate - Unit

This unit entry is for students who completed this unit in 2012 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 0 (NATIONAL PRIORITY), 0.125 EFTSL

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

LevelPostgraduate
FacultyFaculty of Business and Economics
OfferedCaulfield First semester 2012 (Day)
Caulfield Second semester 2012 (Evening)
Coordinator(s)Semester 1: Ann Maharaj

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 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 (2 hours): 60%

Chief examiner(s)

Associate Professor Elizabeth Maharaj (semester 1)
Mr Bruce Stephens (semester 2)

Contact hours

3 hours per week

Prerequisites

Students must be enrolled in course codes 3814, 3815, 3816 or 3822 or must have passed ETX1100, ETX9000 or AFX9510.