Overview

This unit is a rigorous introduction to the theory of mathematical statistics and more specifically of statistical inference. It provides the mathematical theory underlying the methods and concepts used in statistics, such as estimation and hypothesis testing. This unit will cover a variety topics including: properties of a random sample, … For more content click the Read More button below.

Offerings

S2-01-CLAYTON-ON-CAMPUS

Contacts

Chief Examiner(s)

Dr Jie Fan

Unit Coordinator(s)

Dr Jie Fan

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.

Learning outcomes

On successful completion of this unit, you should be able to:
1.

Demonstrate understanding of basic concepts in statistical inference, and in particular point and confidence estimation and hypothesis testing;

2.

Use point and confidence estimation and hypothesis testing in a variety of contexts including analysis of variance and linear regression;

3.

Demonstrate advanced skills in the effective use of statistical software;

4.

Demonstrate advanced skills in the written and oral presentation of mathematical and statistical arguments.

Teaching approach

Active learning

Assessment

1 - In-semester assessment
2 - Examination (3 hours and 10 minutes)

Scheduled and non-scheduled teaching activities

Applied sessions
Lectures

Workload requirements

Workload

Other unit costs

Costs are indicative and subject to change.
Miscellaneous Items Required (Unit Course Reader, Printing, Stationery) - $120.

Availability in areas of study

Applied mathematics
Financial and insurance mathematics
Mathematical statistics
Mathematics