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; tests of the location of populations; 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; Logit models; an introduction to time series methods; and seasonality. -- Course Website
Prerequisites: One of the following: Subject Study Period Commencement: Credit Points: ECON10005 Quantitative Methods 1 Semester 1, Semester 2 12.50 MAST10010 Data Analysis 1 Semester 2 12.50 MAST10011 Experimental Design and Data Analysis Semester 1, Semeste