MonMap
A course mapper by Monash Association of Coding (MAC)
Statistical thinking
ETC2420
Synopsis
This unit presents data analysis, statistical modelling and decision-making in the presence of uncertainty, using a computational approach. You will use different frameworks of probability that are helpful for analysing real-world problems. Topics covered will include probability distributions, statistical inference (classical & Bayesian), simulation, permutation and randomisation methods, regression models, decision theory, and model assessment and diagnosis.
Sourced from the Monash Handbook 2026.
Quick facts
- Credit points
- 6
- Level
- 2
- Audience
- Undergraduate
- Type
- Coursework
- School
- Faculty of Business and Economics
- Faculty
- Department of Econometrics and Business Statistics
- Handbook year
- 2026
Prerequisites (8)
- Business statisticsETB1100
- Business and economic statisticsETC1000
- Business statisticsETF1100
- Introduction to statistical analysisETW1001
- Business statisticsETX1100
- Business information analysisFIT1006
- Introduction to statistical reasoningSCI1020
- Statistical methods for scienceSTA1010
What it unlocks (12)
- Introduction to machine learningETC3250
- Applied forecastingETC3550
- Advanced statistical modellingETC3580
- Introduction to machine learningETC5250
- Applied forecastingETC5550
- Advanced statistical modellingETC5580
- Business forecastingETF3231
- Business forecastingETF5231
- Predictive analytics and machine learningETF5932
- Predictive analytics and machine learningETX3250
- High dimensional data analysisETX3500
- High dimensional data analysisETX5500
Offerings (2)
- Second semesterClayton · ON-CAMPUS
- First semesterClayton · ON-CAMPUS
Listed in 6 areas of study
- Actuarial analyticsCore units
- Business analytics for economicsCore studies
- Business analyticsCore units
- Business analyticsClayton
- EconometricsCore units
- EconometricsAdditional econometrics units