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ETF2020 · Monash University

Statistical foundations of business analytics

Credit points
6
Level
2
Workload
≈ 12 h / week
Faculty
Business and Economics

What it covers

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.

Assessment

TaskTypeWeight
2 - ExerciseExercise10%
1 - WrittenWritten40%
3 - ExaminationExamination50%

When and where

Teaching periodCampusMode
Second semesterCaulfieldBlended
First semesterCaulfieldBlended