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Business and economic statistics (6 points)


Leader: Associate Professor Brett Inder and Dr Xueyan Zhao

Clayton First semester 2003 (Day)
Clayton Second semester 2003 (Day)
Clayton First semester 2004 (Day)
Clayton Second semester 2004 (Day)

Synopsis: An introduction to the main techniques of descriptive statistics - the collection, organisation, presentation and analysis of grouped and ungrouped data using measures of location and dispersion; the construction of index numbers, with application to share price indices and the CPI; analysis of time series data using decomposition methods for trend and seasonality, with applications to forecasting and seasonal adjustment; main ideas of probability theory as a foundation for statistical inference; concept of sampling as a way of capturing uncertainty about data; estimators and their properties; constructing and interpreting confidence intervals.

Assessment: Written (3 assignments - computing and report): 30% + Examination (2 hours): 70%

Contact Hours: Two 1-hour lectures and one 2-hour tutorial class per week

Prerequisites: a study score of at least 25 in two units of mathematics chosen from units 3 and 4 of Mathematical Methods, Specialist Mathematics or equivalent

Prohibitions: BUS1100, MTH1210, ETC1020, STA1010, STA2010

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