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25841 Analytical Techniques for Decision Making

Warning: The information on this page is indicative. The subject outline for a particular session, location and mode of offering is the authoritative source of all information about the subject for that offering. Required texts, recommended texts and references in particular are likely to change. Students will be provided with a subject outline once they enrol in the subject.

Subject handbook information prior to 2018 is available in the Archives.

UTS: Business
Credit points: 8 cp

Subject level:


Result type: Grade and marks

There are course requisites for this subject. See access conditions.


The modern business environment and recent developments in data collection and dissemination tools has allowed businesses access to a vast array of both internal and external data that can assist and enhance decision-making in organisations. This unit looks at the various tools available to interpret and use data in a business setting to enhance decision-making.

Subject learning objectives (SLOs)

Upon successful completion of this subject students should be able to:
1. analyse and explain a variety of statistical methods and tools
2. critically analyse and interpret data and valuation
3. demonstrate how to perform evaluation of data using a variety of statistical tools
4. use computer software to analyse large amounts of data in an efficient manner

Contribution to the development of graduate attributes

This subject allows students to gain an introduction the “language of business”. The content addressed in the subject will allow students to apply these skills as they investigate more advanced topics in finance, marketing, strategy and accounting.

Teaching and learning strategies

The subject will be taught using a combination of lectures and workshops. These classes will be supplemented with both printed and electronic learning materials and resources. The UTS web-based communication tool (UTS Online) will be used to share information and encourage interaction between staff and students. Students will also use appropriate computer software such as spreadsheets and word processors to complete assigned tasks.

Content (topics)

  • Introduction to descriptive statistics
  • Introduction to basic statistical analysis
  • Relationships between variables
  • Statistical inference
  • Comparisons of one or more groups
  • Regression analysis
  • Model Uncertainty


Assessment task 1: Mid Semester Exam (Take Home) (individual)


This addresses subject learning objective(s):

1, 2 and 3

Weight: 40%

Assessment task 2: Case Study Report (group)


This addresses subject learning objective(s):

1, 2, 3 and 4

Weight: 25%

Assessment task 3: Case Study Presentation (individual)


This addresses subject learning objective(s):

1, 2, 3 and 4

Weight: 15%

Assessment task 4: In-class Skills Test/Quiz (individual)


This addresses subject learning objective(s):

1, 2, 3 and 4

Weight: 20%

Minimum requirements

To pass the subject, students must achieve at least 50% of the marks allocated to the assessment tasks.

Required texts

Australasian Business Statistics, 3rd Edition

Ken Black, John Asafu-Adjaye, Paul Burke, et al.

ISBN 9780730310204