# Quantitative Methods 2 (ECON20003)

Undergraduate level 2Points: 12.5On Campus (Parkville)

You’re viewing the 2017 Handbook:
Or view archived Handbooks
You’re currently viewing the 2017 version of this subject

## Overview

Year of offer 2017 Undergraduate Level 2 ECON20003 Parkville Summer TermSemester 1Semester 2 Subject EFTSL, Level, Discipline & Census Date

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.

## Intended 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.

## 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.

## Eligibility and requirements

### Prerequisites

One of the following:

Code Name Teaching period Credit Points
ECON10005 Quantitative Methods 1
Semester 1
Semester 2
12.5
MAST10010 Data Analysis 1
Semester 2
12.5
MAST10011 Experimental Design and Data Analysis
Semester 1
Semester 2
12.5

None

None

### Recommended background knowledge

Please refer to Prerequisites and Corequisites.

### Core participation requirements

The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.

Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home

## Assessment

### Description

• Three group assignments where students can choose whether they be in a group of one or two, preparing assignments that involve quantitative data analysis and review, with each assignment not exceeding 14 pages (including graphs, charts and equations), due in weeks 5, 9 and 11, (5% each, total 15%)
• A mid-semester online test on material covered prior to week 6, in week 6, (5%)
• Tutorial participation, including completion of weekly tutorial exercises involving quantitative data analysis and review, throughout semester, (10%)
• A 2-hour end-of-semester final examination covering the whole semester's work, end of semester, (70%)
• To pass this subject students must pass the end of semester examination.

## Dates & times

• Summer Term
Principal coordinator Wasana Karunarathne On Campus — Parkville 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 170 hours 3 January 2017 to 17 February 2017 12 January 2017 13 January 2017 10 February 2017 25 February 2017

### Summer Term contact information

• Semester 1
Principal coordinator Gholamreza Hajargasht On Campus — Parkville 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 170 hours 27 February 2017 to 28 May 2017 10 March 2017 31 March 2017 5 May 2017 23 June 2017

### Semester 1 contact information

• Semester 2
Principal coordinator Bill Griffiths On Campus — Parkville 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 170 hours 24 July 2017 to 22 October 2017 4 August 2017 31 August 2017 22 September 2017 17 November 2017

170 Hours

## Further information

• Texts

### Prescribed texts

This subject is available as breadth in the following courses:

• Available through the Community Access Program

### About the Community Access Program (CAP)

This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.

Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.

• Available to Study Abroad and Exchange students

This subject is available to students studying at the University from overseas institutions on exchange and study abroad.

Last updated: 13 November 2018