MTH2232 · Mathematical statistics

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

Areas of study: Applied mathematics Financial and insurance mathematics Mathematical statistics Mathematics

Offerings

Assessment

The Handbook lists an examination for this unit.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

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.

Workload

• Three 1-hour seminars; • One 2-hour applied class (in weeks 2-12) and • 7 hours of independent study per week.

Student experience, not official rules. Nothing here changes what the Handbook says.