University of St Andrews

Key information

SCOTCAT credits : 15

ECTS credits : 7

Level : SCQF level 9

Semester: 2

Planned timetable: 12.00 noon Mon (even weeks), Tue & Thu

Together with MT3507, this module provides a bridge between second year and Honours modules in statistics. It deals with the application of statistical methods to test hypotheses and draw inferences from data. This includes a number of nonparametric methods and statistical tests (goodness-of-fit tests and tests of independence). Inference methods include model fitting by least squares and maximum likelihood, and variance estimation by means of the information matrix and the bootstrap. The framework of the generalised linear model is presented covering parameter estimation, deviance, model selection and diagnostics. Further applications include multiple regression, analysis of variance and the (normal) linear model.

Relationship to other modules

Pre-requisite(s): Before taking this module you must pass MT2508

Learning and teaching methods and delivery

Weekly contact: 2.5 hours of lectures and 1 tutorial.

Scheduled learning hours: 35

Guided independent study hours: 115

Assessment pattern

As used by St Andrews: 2-hour Written Examination = 90%, Coursework (Project) = 10%

As defined by QAA
Written examinations : 90%
Practical examinations : 0%
Coursework: 10%

Re-assessment: 2-hour Written Examination = 100%

Personnel

Module coordinator: Professor D L Borchers
Module teaching staff: Prof David Borchers