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ETX1100 · Business statistics

Official Handbook

2026 Handbook6 credit pointsLevel 1Department of Econometrics and Business Statistics

Last checked: 23 Aug 2026 UTC

Overview

This unit introduces the basic foundations of business analytics and statistics. You will learn how to work with data alongside basic statistics and spreadsheet tools to solve simple business problems. The unit introduces the appropriate methods to visualise and summarise data, to quantify uncertainty that may arise from data analysis. You will also learn how to assess relationships between many data variables, and learn how to build basic regression models to capture such relationships in a business context.

Offerings

CampusTeaching periodMode
CaulfieldNovember teaching periodTeaching activities are on-campus and in a block period (ON-BLK)

Assessment

The Handbook lists an examination for this unit.

#AssessmentTypeWeightHurdle
11 - ExerciseExercise15%
22 - Quiz / TestQuiz / Test15%
33 - WrittenWritten20%
44 - ExaminationExamination50%

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

Requisites

prohibitions

  • ETC1000 — Business and economic statistics
  • ETW1000 — Business and economic statistics
  • ETW1001 — Introduction to statistical analysis
  • ETB1100 — Business statistics
  • FIT1006 — Business information analysis
  • SCI1020 — Introduction to statistical reasoning
  • STA1010 — Statistical methods for science
  • ETF1100 — Business statistics
  • ETI1100 — Business statistics

Joined by OR.

Learning outcomes

  1. classify the different data types and apply appropriate visualisation tools for effective data presentation
  2. apply probability calculations and interpretations in a given business problem
  3. apply the concept of random sampling to interpret statistics calculated from business data and conduct hypothesis testing
  4. analyse relationships between business data using appropriate tools
  5. build the simple and multiple regression model in Excel and communicate the results in relevant business contexts
  6. formulate and solve basic business modelling problems in Excel.

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
Workshops36 hours

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