<SOURCE TABLE="Economics:Eco::v3.196">
<SUBJECT ID="316-130" CODEUSED="316-130">
<TITLE>QUANTITATIVE METHODS 1</TITLE>
<COORDINATOR>Associate Professor V Martin
<SEMESTER>Second semester
<CONTACT>Three hours a week.
<OBJECTIVES>On completion of this subject students should:
<ul>
<li>understand a number of statistical and mathematical techniques and their application to accounting, economics and finance;
<li>be familiar with the basic tenets of probability theory;
<li>be able to summarise data sets with a small number of statistical parameters;
<li>be familiar with the normal distribution and be able to conduct a hypothesis test using Z-tables.
</ul>
</OBJECTIVES>
<CONTENT>Explanation and application of statistical and mathematical techniques which are used for decision making and analysis in business and economics. Measures of location and dispersion; probability, random variables, expected values, decision theory and estimation (mean and proportions), hypothesis testing using the normal distribution. Applications to accounting, economics and finance.
<ASSESSMENT>A 2-hour end-of-semester examination (80 per cent) and tutorial exercises of up to 50 pages in total (20 per cent).
<PRESCRIBEDTEXTS>
<ATEXT>Harrison SR and Tamaschke R H U <i>Statistics for Business, Economics and Management </i>Prentice Hall 1993
</PRESCRIBEDTEXTS>
<NOTE>Credit cannot be obtained both for this subject and for 316-129 Business Statistics or 617-160 Scientific Programming and Statistics or 617-170 Discrete Mathematics and Statistics. However, students who pass 617-160 or 617-170 plus another first year mathematics subject may substitute these subects for 316-130 Quantitative Methods.
</SUBJECT>
</SOURCE>


