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Probability and statistical inference for economics and business
ETC5252
Synopsis
An introduction to probability and statistical inference for use in economics and business. Topics covered include random variables, moments and cumulants generating function, discrete and continuous distributions, independence, jointly distributed random variables, conditional random variables, the central limit theorem, sampling distribution, properties of estimators, confidence intervals, tests of hypotheses.
Sourced from the Monash Handbook 2026.
Quick facts
- Credit points
- 6
- Level
- 5
- Audience
- Postgraduate
- Type
- Coursework
- School
- Faculty of Business and Economics
- Faculty
- Department of Econometrics and Business Statistics
- Handbook year
- 2026
Prerequisites (10)
- Business statisticsETB1100
- Business and economic statisticsETC1000
- ETC5900ETC5900
- Business statisticsETF1100
- ETF5900ETF5900
- Business statisticsETM5900
- Introduction to statistical analysisETW1001
- Business information analysisFIT1006
- Introduction to statistical reasoningSCI1020
- Statistical methods for scienceSTA1010
What it unlocks (6)
Offerings (1)
- Second semesterClayton · BLENDED