316-130 Quantitative Methods 1

• Students may not gain credit for both 316-130 Quantitative Methods 1 and 620-160 Experimental Design and Data Analysis or 316-129 Business Statistics (1999 or earlier).

• 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.

VCE Mathematical Methods or equivalent.

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-distribution; and simple and multiple regression and correlation. The emphasis is on practical applications to accounting, economics, finance, management and marketing. A range of computer software will be used, including Excel.

• High level of development: problem solving; statistical reasoning; application of theory to practice; interpretation and analysis; synthesis of data and other information; evaluation of data and other information; use of computer software; accessing data and other information from a range of sources.

• Moderate level of development: oral communication; written communication; critical thinking; receptiveness to alternative ideas.

• Some level of development: collaborative learning; team work.

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

To be advised.