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ETX9000 - Business and economic statistics

6 points, SCA Band 0 (NATIONAL PRIORITY), 0.125 EFTSL

Postgraduate Faculty of Business and Economics

Leader(s): Dr Phillip Edwards, Dr Neil Diamond


Caulfield First semester 2009 (Evening)
Clayton First semester 2009 (Day)
Clayton Second semester 2009 (Day)
Australia (Other) First semester 2009 (Off-campus block of classes)
Australia (Other) Second semester 2009 (Off-campus block of classes)


An introduction to 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 relationships between variables using simple multiple regression, with applications to forecasting; 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, testing a hypothesis, including analysis of variance.


The learning goals associated with this unit are to:

  • interpret business and economic data using descriptive statistics techniques for grouped and ungrouped data, including graphical presentations and measures of location and dispersion
  • construct and interpret index numbers with application to share price indices and deflation using the Consumer Price Index
  • describe the concept of a sampling distribution, estimators and their properties as a foundation for statistical inference, and use p-values to make inference on single population means for business and economic decision-making
  • interpret and evaluate relationships between variables for business and economic decision-making using simple linear regression, including inference, confidence intervals and prediction
  • apply the main ideas of probability theory, discrete and continuous probability distributions to account for uncertainty in data used for business and economic decision-making.


Within semester assessment: 50%
Examination (3 hours): 50%

Contact hours

One 2 hour lecture and one 1 hour tutorial per week


AFX9510, ETC1000, ETW1000, ETW1102, ETX1100 and ETC9000.

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