Quantitative analysis
Associate Professor Ralph Snyder
6 points
* One 3-hour session per week
* First semester
*
Clayton
* Prerequisite: A pass in at least one undergraduate quantitative
subject
Objectives On completion of this subject students should be able to inculcate the quantitative way of thinking about planning and control problems in business; highlight the potential of quantitative methods in organisational decision making; develop the computing skills needed to support quantitative business analysis; provide insights into the rationale of commonly used quantitative methods; cover the foundations of quantitative methods needed for the study of other subjects in the program.
Synopsis Topics include linear programming, the critical path method, basic statistics, decision making under risk and uncertainty, sampling, Monte Carlo simulation, multiple regression analysis, statistical inference, time series analysis, index numbers; a training in the use of Microsoft Excel for quantitative analysis.
Assessment Written (practical and assignment work 2000-5000 words): 40%
* Examination (2 hours): 60%
Recommended texts
Bierman H and others Quantitative analysis for business decisions 8th edn, Irwin, 1991
Mendenhall, W and others Statistics for management and economics 7th edn, PWS-Kent, 1993
Shelly G B and Cashman T J Learning to use Windows applications: Word 2.0, Excel 4 and Paradox 1.0 Boyd and Fraser, 1993
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