units

MTH2232

Faculty of Science

Monash University

Undergraduate - Unit

This unit entry is for students who completed this unit in 2015 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

print version

6 points, SCA Band 2, 0.125 EFTSL

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

LevelUndergraduate
FacultyFaculty of Science
Organisational UnitSchool of Mathematical Sciences
OfferedClayton Second semester 2015 (Day)
Coordinator(s)Dr Andrea Collevecchio

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;

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

  1. Demonstrate advanced skills in the effective use of statistical software;

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

Assessment

Continuous assessments: 30%
Final examination: 70%

Workload requirements

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

See also Unit timetable information

Chief examiner(s)

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

Prerequisites

Co-requisites

At least one of MTH2010, MTH2015, MTH2021 or MTH2025