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 316-130 Quantitative Methods 1

Note

Credit cannot be obtained for both this subject and for any of 316-129 Business Statistics, 620-131 Scientific Programming and Simulation, 620-140 Probability and Applications or 620-160 Experimental Design and Data Analysis (1997 or earlier Handbooks 617-141, 617-160, 617-170, 619-100, 619-101). However students who have passed 620-131, 620-140 or 620-160 plus another first-year Mathematics subject (620-121, 620-141, 620-161 or equivalent) may apply for an exemption from 316-130 Quantitative Methods 1.

Credit Points

12.5

Coordinator

Associate Professor V Martin

Semester

2 (view timetable)

Contact

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

Subject Description

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 and expected values; estimation and hypothesis testing using the normal and t distributions; differentiation and integration. 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
  • Harrison SR and Tamaschke R H U, Statistics for Business, Economics and Management. Prentice Hall 1993.
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Status:                   Official 1999
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