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Unit Summary

Unit type

PG Coursework Unit

Credit points

12

Unit aim

Introduces students to business analytics. Statistical tools to analyse and model real-world situations and data are developed. The interpretation and communication of the results are emphasised. Excel is used for statistical calculations.

Unit content

  1. Introduction to business analytics
  2. Probability and data modelling
  3. Statistical distributions
  4. Confidence interval estimations
  5. Hypothesis testing
  6. Introduction to regression modelling

Learning outcomes

Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.

On completion of this unit, students should be able to:
1 critically analyse and interpret business and economic data to inform decision making
2 critically evaluate business and economic data that is characterised by uncertainty
3 analyse and apply regression modelling techniques to evaluate and inform decision making.

On completion of this unit, students should be able to:

  1. critically analyse and interpret business and economic data to inform decision making
  2. critically evaluate business and economic data that is characterised by uncertainty
  3. analyse and apply regression modelling techniques to evaluate and inform decision making.

Prescribed texts

  • No prescribed texts.

  • This is the ISBN for the Value Pack Basic Business Statistics + PHStat Access kit for Statistics: Berenson, ML, Levine, DM, Szabat, KA, O’Brien, M, Jayne, N & Watson, J, 2018, Basic Business Statistics, 5th edn, Pearson Australia. ISBN: 9781488687921.
Prescribed texts may change in future teaching periods.