MTH2232 - Mathematical statistics - 2019

6 points, SCA Band 2, 0.125 EFTSL

Undergraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

Faculty

Science

Organisational Unit

School of Mathematical Sciences

Chief examiner(s)

Dr Jie Yen Fan

Coordinator(s)

Dr Jie Yen Fan

Unit guides

Offered

Clayton

  • Second semester 2019 (On-campus)

Prerequisites

MTH1030, MTH1035, or ENG1005

Co-requisites

At least one of MTH2010, MTH2015, MTH2021, MTH2025, MTH2040 or ENG2005

Synopsis

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, principles of data reduction, point estimation (including maximum likelihood estimation), hypothesis testing, interval estimation, the analysis of variance and linear regression.

Outcomes

On completion of this unit students will 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.

Assessment

NOTE: From 1 July 2019, the duration of all exams is changing to combine reading and writing time. The new exam duration for this unit is 3 hours and 10 minutes.

End of semester examination (3 hours): 60% (Hurdle)

Continuous assessment: 40% (Hurdle)

Hurdle requirement: To pass this unit a student must achieve at least 50% overall and at least 40% for both the end-of-semester examination and continuous assessment components.

Workload requirements

Three 1-hour lectures plus one 2-hour applied class per week

See also Unit timetable information

This unit applies to the following area(s) of study