Faculty of Business and Economics

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Monash University

Monash University Handbook 2010 Undergraduate - Unit

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

FacultyFaculty of Business and Economics
OfferedClayton First semester 2010 (Day)
Clayton Second semester 2010 (Day)
Coordinator(s)Dr Brett Inder; Dr Phillip Edwards


Presentation and analysis of grouped and ungrouped data using tables, charts and measures of location and dispersion; standardisation techniques, including index numbers, with application to share price indices and the CPI; analysis of relationships between variables using simple and multiple regression; extensions to multiple regression, including nonlinear and categorical explanatory variables and time series data 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; fundamentals of hypothesis testing, testing hypotheses about the mean, difference between means and the slope, including analysis of variance.


The learning goals associated with this unit are to:

  • interpret business and economic data using tables, charts and descriptive statistics techniques, applying standardisation techniques where appropriate
  • describe the concept of a sampling distribution, estimators and their properties
  • make inference on single and multiple population means, difference between means and the slope for business and economic decision-making
  • interpret and evaluate relationships between variables for business and economic decision-making using simple and multiple linear regression
  • apply the main ideas of probability theory to business and economic decision-making.


Within semester assessment: 30%
Examination (2 hours): 70%

Chief examiner(s)

Kathryn Cornwell

Contact hours

Three 1-hour lectures and one 1.5 hour tutorial per week


ETW1000, ETW1102, ETX1100, ETX9000, FIT1006, STA1010, SCI1020