Quantitative methods 2
BB
Dr Richard Egudo
6 points * Second semester * Four 3-hour lectures and a 1-hour tutorial per week * Gippsland/Distance * Prerequisites: GAS1751 (and one computing subject is desirable)
The aims of this subject are to develop the ability to perform quantitative analysis of a range of business problems, and draw inferences. The subject covers the following topics: (1) linear programming (the graphical solution procedure, introduction to the simplex method, dual simplex method, LP applications and use of computer packages); deterministic inventory models and business applications; time series (components, trend analysis, smoothing by moving averages, exponential smoothing); introduction to forecasting; (2) statistics (point and interval estimation); hypothesis testing involving two independent and matched samples; non-parametric tests based on ranks; chi-squared test for independence; simple treatment of analysis of variance; review of simple linear regression, correlation analysis, multiple linear regression, curvilinear regression and exponential regression, using available computer packages.
Assessment
Assignments: 40% * Examination: 60%
Prescribed texts
Anderson D R and others An introduction to management science 7th edn, West, 1994
Waxman P Business mathematics and statistics 3rd edn, Prentice-Hall, 1993