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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.

Anonymous, Semester 2, 2016

This subject is a bit better than QM1!!! Not as tough as QM1

Anonymous, Semester 2, 2012

Lecturer talks like he's talking to himself. Does not seem to know what he's talking about at times. I found it more beneficial to refer to the textbook as compared to going to his lectures.

Anonymous, Semester 1, 2015
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