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 316-130 Quantitative Methods 1

Note

Credit cannot be obtained for both this subject and for either 620-131 Scientific Programming and Simulation, or 620-160 Experimental Design and Data Analysis (1998 or earlier handbooks 620-140 Probability and Applications, 316-129 Business Statistics; 1997 or earlier Handbooks 617-141, 617-160, 617-170, 619-100, 619-101). Students who complete 620-160 Experimental Design and Data Analysis or 620-131 Scientific Programming and Simulation may apply for an exemption from 316-130 Quantitative Methods 1.

Credit Points

12.5

HECS Band

2

Coordinator

Associate Professor V Martin

Prerequisites

VCE Mathematical Methods or equivalent.

Semester

1, repeat 2 (view timetable)

Contact

Two 1-hour lectures and one 1-hour tutorial per week

Subject Description

This subject covers the core concepts which underpin quantitative decision analysis in the various specialisations within the Faculty. It provides a foundation for all second year quantitative subjects in the commerce degree. The topics covered are: financial mathematics; measures of location and dispersion; probability, random variables and expected values; sampling design; estimation and testing using the normal and t-distributions; simple regression and correlation. The emphasis is on practical applications to accounting, economics, finance, management and marketing.

Assessment

A 2-hour end-of-semester examination (70%); assignments not exceeding 50 pages in total (20%); and a mark based on tutorial attendance and participation (10%).

Prescribed Texts

To be advised.

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Status:                   Official 2000
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Email Enquiries:          Course_Information@registrar.unimelb.edu.au