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Data analysis in business (6 points)


Leader: Dr Ann Maharaj

Caulfield First semester 2003 (Day)
Caulfield First semester 2003 (OCL)
Malaysia First semester 2003 (OCL)
Singapore First semester 2003 (OCL)
Caulfield Second semester 2003 (Day)
Caulfield Second semester 2003 (Evening)
Caulfield First semester 2004 (Day)
Caulfield First semester 2004 (OCL)
Malaysia First semester 2004 (OCL)
Singapore First semester 2004 (OCL)
Caulfield Second semester 2004 (Day)
Caulfield Second semester 2004 (Evening)

Synopsis: Further develops statistical concepts from ETX1100 and their application to business sectors such as finance and accounting. Sources of data and sampling techniques. Confidence intervals and hypothesis testing both for single populations and between populations to identify significant findings with applications to accounting and finance, risk modelling. Commonly used modelling methods in industry - simple and multiple regression, analysis of time series in financial markets. Excel software will be used. Emphasis throughout is on interpretation of results that provides insight and value to management.

Assessment: Assignment and test: 40% + Final examination (2 hours): 60%

Contact Hours: Two 1-hour lectures, one 1-hour tutorial per week

Prerequisites: ETX1100 or a credit grade in ETW1102

Prohibitions: ETX2111, ETC1010, ETX2161, ETX2171

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