units

ETC1000

Faculty of Business and Economics

Undergraduate - Unit

This unit entry is for students who completed this unit in 2013 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

print version

6 points, SCA Band 2, 0.125 EFTSL

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LevelUndergraduate
FacultyFaculty of Business and Economics
Organisational UnitDepartment of Econometrics and Business Statistics
OfferedClayton First semester 2013 (Day)
Sunway First semester 2013 (Day)
Clayton Second semester 2013 (Day)
Sunway Second semester 2013 (Day)
Coordinator(s)Professor Brett Inder; Dr Kathryn Cornwell, Professor Lisa Cameron

Synopsis

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.

Outcomes

The learning goals associated with this unit are to:

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

Assessment

Within semester assessment: 30%
Examination: 70%

Chief examiner(s)

Contact hours

3 hours per week

Co-requisites

Students must be enrolled in one of the following courses to undertake this unit: 0023, 0169, 0170, 0179, 0542, 0546, 0548, 1185, 1319, 1320, 1469, 2015, 2016, 2017, 2026, 2630, 3050, 3176, 3178, 3804, 3805, 3823, 3830, 3834, 4097, 4403, 4410, 4417, 4419, 4425, 4428, 4615 or 4097.

Prohibitions