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ETF5202 · Statistical foundations of business analytics

Official Handbook

2026 Handbook6 credit pointsLevel 5Department of Econometrics and Business Statistics

Last checked: 23 Aug 2026 UTC

Overview

The business world is characterised by decision making in an environment of risk. To gain a deeper understanding of the tools and models used in business analytics, a strong foundation in probability and statistics is required. Probability provides a "language" for thinking about risk, while statistics provides a framework for making data-driven inferences and predictions. This unit provides a strong grounding in these fundamentals. Some of the topics covered may include risk v uncertainty v probability, famous statistical paradoxes, decision theory, frameworks for statistical inference (frequentist, Bayesian, etc.) and simulation and re-sampling. Examples from real world business problems will be used to motivate each topic.

Offerings

CampusTeaching periodMode
CaulfieldFirst semesterActivities scheduled as a mix of on-campus and online activities (BLENDED)
CaulfieldSecond semesterActivities scheduled as a mix of on-campus and online activities (BLENDED)

Assessment

The Handbook lists an examination for this unit.

#AssessmentTypeWeightHurdle
11 - WrittenWritten40%
22 - ExaminationExamination60%

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

prerequisite

  • ETF1100 — Business statistics
  • ETC1000 — Business and economic statistics
  • ETB1100 — Business statistics
  • ETW1001 — Introduction to statistical analysis
  • ETX1100 — Business statistics
  • FIT1006 — Business information analysis
  • SCI1020 — Introduction to statistical reasoning
  • STA1010 — Statistical methods for science
  • ETC5900 — Business statistics
  • ETF5900 — Business statistics
  • ETX5900 — Business statistics
  • ETM5900 — Business statistics

Joined by OR.

prohibitions

  • ETC2520 — Probability and statistical inference for economics and business
  • ETF2020 — Statistical foundations of business analytics
  • ETC5252 — Probability and statistical inference for economics and business

Joined by OR.

Learning outcomes

  1. think and communicate about risk in a probabilistic way and apply this thinking to a business problem
  2. understand random variables, statistical distributions and conditional probability
  3. appreciate how conditional probabilities can be misinterpreted in business settings and how this is overcome with Bayes’ Rule
  4. frame a business problem using probability and statistics and make data-driven decision in the presence of risk
  5. apply the main methods of statistical estimation, prediction and inference and evaluate their properties
  6. evaluate and choose between different statistical models.

Workload

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. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.

ActivityDuration
Seminars24 hours
Tutorials12 hours
Workshops12 hours

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