Quantitative Methods 2

• ECON20003
• Contact Hours: Semester 1 and 2: Two 1-hour lectures and a 1-hour tutorial per week; Summer Semester: Two 2-hour lectures and two 1-hour tutorials per week for six weeks
  Total Time Commitment: Not available
• 12.50

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