ETX2121 - Data analysis in business - 2018

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.

The learning goals associated with this unit are to:

1. demonstrate an understanding of different sampling techniques and their role in business
2. demonstrate an understanding of the role of statistical inference and its role when applied in business
3. interpret and analyse the results of a regression analysis and their value when applied in business.

Within semester assessment: 40% + Examination: 60%

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.

See also Unit timetable information