ETX2121 - Data analysis in business

Leader(s): Dr Ann Maharaj

Offered

Caulfield First semester 2009 (Day)
Caulfield Second semester 2009 (Day)
Caulfield Second semester 2009 (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.

Objectives

The learning goals associated with this unit are to:

• demonstrate an understanding of different sampling techniques and their role in business
• demonstrate an understanding of the role of statistical inference and its role when applied in business
• interpret and analyse the results of a regression analysis and their value when applied in business
• interpret and analyse the results of time series analysis (generated using Excel) and their value when applied in business

Assessment

Within semester assessment: 40%
Final examination (2 hours): 60%

Contact hours

Two 1-hour lectures and one 1-hour tutorial per week

Prerequisites

ETX1100 or a credit grade in ETW1102

Prohibitions

ETX2111, ETC1010, ETX2161, ETX2171