ETC5252 - Probability and statistical inference for economics and business

There is a more recent version of this academic item available.

Overview

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.

Offerings

S2-01-CLAYTON-ON-CAMPUS

Requisites

Prohibition

Rules

Enrolment Rule

Contacts

Chief Examiner(s)

Professor Farshid Vahid-Araghi

Notes

IMPORTANT NOTICE:
Scheduled teaching activities and/or workload information are subject to change in response to COVID-19, please check your Unit timetable and Unit Moodle site for more details.

Teaching approach

Problem-based learning

Peer assisted learning

Assessment

1 - Within semester assessment

2 - Examination

Scheduled and non-scheduled teaching activities

Lectures

Tutorials

Workload requirements

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. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.

Other unit costs

Costs are indicative and subject to change.
Electronics, calculators and tools: $40