Quantitative Methods 2

Subject ECON20003 (2016)

Note: This is an archived Handbook entry from 2016.

Credit Points: 12.5
Level: 2 (Undergraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2016:

Summer Term, Parkville - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period 04-Jan-2016 to 14-Feb-2016
Assessment Period End 26-Feb-2016
Last date to Self-Enrol 08-Jan-2016
Census Date 15-Jan-2016
Last date to Withdraw without fail 05-Feb-2016

Semester 1, Parkville - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period 29-Feb-2016 to 29-May-2016
Assessment Period End 24-Jun-2016
Last date to Self-Enrol 11-Mar-2016
Census Date 31-Mar-2016
Last date to Withdraw without fail 06-May-2016

Semester 2, Parkville - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period 25-Jul-2016 to 23-Oct-2016
Assessment Period End 18-Nov-2016
Last date to Self-Enrol 05-Aug-2016
Census Date 31-Aug-2016
Last date to Withdraw without fail 23-Sep-2016

Timetable can be viewed here. For information about these dates, click here.
Time Commitment: Contact Hours: Semester 1 and 2: Two 1-hour lectures and a 1-hour tutorial per week; Summer Semester: Two 2-hour lectures and two 1-hour tutorials per week for six weeks
Total Time Commitment: Not available

One of the following:

Study Period Commencement:
Credit Points:
Semester 1, Semester 2
Semester 2
Corequisites: None
Recommended Background Knowledge:

Please refer to Prerequisites and Corequisites.

Non Allowed Subjects: None
Core Participation Requirements:

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.

It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability


Dr Reza Hajargasht, Dr Wasana Karunarathne, Prof Bill Griffiths


Summer: Wasana Karunarathne


Semester 1: Reza Hajargasht


Semester 2: Bill Griffiths


Subject Overview:

This subject provides students with background mathematical and statistical skills necessary for solving a wide range of commerce problems. It draws heavily on examples from accounting, management and marketing and, to a lesser extent, economics and finance. Topics include: review of statistics; tests of the location of populations; simple and multiple regression for use with time series and cross section data, including interpretation of estimates, hypothesis testing and forecasting, an introduction to diagnostics; Logit models; an introduction to time series methods; and seasonality.

Learning Outcomes:
  • Conduct and interpret a number of parametric and non-parametric tests of the location of quantitative populations.
  • Complete simple and multiple regression analysis, appropriate tests on regression coefficients, analyse and interpret the results and explain the findings.
  • Identify the circumstances under which test procedures may not be valid.
  • Analyse several specific models often employed in the various fields within commerce.
  • Identify the circumstances under which a model with a binary dependent variable is appropriate.
  • Evaluate the results of a Logit model, test relevant hypotheses on the regression coefficients in a Logit model and explain the findings.
  • Explain the difficulties that can arise when studying time series data.
  • Interpret season factors and seasonally adjust data.
  • Employ several methods to analyse and forecast time series data.
  • Use and understand various publicly available statistics, including the many data series available describing the economy and markets.

A 2-hour end-of-semester examination (70%), assignments not exceeding 20 pages in total (15%), a mid-semester exam (5%), and a mark based on tutorial attendance and participation (10%).

Prescribed Texts:

You will be advised of prescribed texts by your lecturer.

Breadth Options:

This subject potentially can be taken as a breadth subject component for the following courses:

You should visit learn more about breadth subjects and read the breadth requirements for your degree, and should discuss your choice with your student adviser, before deciding on your subjects.

Fees Information: Subject EFTSL, Level, Discipline & Census Date
Generic Skills:
  • High level of development: collaborative learning; statistical reasoning; application of theory to practice; interpretation and analysis; synthesis of data and other information; evaluation of data and other information; use of computer software.

  • Moderate level of development: oral communication; written communication; problem solving; critical thinking; receptiveness to alternative ideas.

  • Some level of development: team work; accessing data and other information from a range of sources.

Related Majors/Minors/Specialisations: Economics
Related Breadth Track(s): Quantitative Methods in Economics
Economics && Finance

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