# Quantitative Methods 2 (ECON20003)

Undergraduate level 2Points: 12.5On Campus (Parkville)

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## Overview

Year of offer 2019 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; autoregressive distributed lag models and testing for stationarity.

## 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.
• Analyse autoregressive distributed lag models and testing for stationarity.
• 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
MAST10010 Data Analysis 1
Semester 2
12.5
MAST10011 Experimental Design and Data Analysis
Semester 1
Semester 2
12.5
MAST20004 Probability
Semester 1
Semester 2
12.5
MAST20006 Probability for Statistics
Semester 1
12.5
ECON10005 Quantitative Methods 1
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 David Moreton 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 8 January 2019 to 22 February 2019 17 January 2019 18 January 2019 15 February 2019 2 March 2019

### Summer Term contact information

• Semester 1
Principal coordinator Laszlo Konya 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 4 March 2019 to 2 June 2019 15 March 2019 31 March 2019 10 May 2019 28 June 2019

### Semester 1 contact information

• Semester 2
Principal coordinator Laszlo Konya 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 29 July 2019 to 27 October 2019 9 August 2019 31 August 2019 27 September 2019 22 November 2019

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/or Study Exchange Students

This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.

Last updated: 1 May 2019