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
Offered
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)
Synopsis
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.
Objectives
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.
Assessment
Within semester assessment: 50%
Examination (3 hours): 50%
Contact hours
One 2 hour lecture and one 1 hour tutorial per week