316-206 Quantitative Methods 2

316-130 Quantitative Methods 1 or 620-131 Scientific Programming and Simulation or 620-160 Experimental Design and Data Analysis.

This subject provides students with background mathematical and statistical skills necessary for solving a wide range of commerce problems. It draws heavily on examples from accounting, management and marketing and, to a lesser extent, economics and finance. Topics include: review of statistics; simple and multiple regression for use with time series and cross section data, including interpretation of estimates, hypothesis testing and forecasting, an introduction to diagnostics, an interpretation of logit regressions; an introduction to time series methods; and seasonality and index numbers.

• High level of development: collaborative learning; 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.

• Moderate level of development: communication; collaborative learning; critical thinking; receptiveness to alternative ideas.

• Some level of development: team work; accessing data and other information from a range of sources.

A 2-hour end-of-semester examination (80%), assignments not exceeding 20 pages in total (10%), and a mark based on tutorial attendance and participation (10%).

To be advised.