University of St Andrews

Key information

SCOTCAT credits : 20

ECTS credits : 10

Level : SCQF level 11

Semester: 1

Planned timetable: 2.00 pm - 5.00 pm Mon - Thu and 2.00 pm - 3.30 pm Fri (Weeks 5,7,8 and 9)

This applied statistics module covers the main aspects of linear models (LMs) and generalized linear models (GLMs). In each case the course describes model specification, various options for model selection, model assessment and tools for diagnosing model faults. Common modelling issues such as collinearity and residual correlation are also addressed, and as a consequence of the latter the Generalized Least squares (GLS) method is described. The GLM component has emphasis on models for count data and presence/absence data while GLMs for multinomial (sometimes called choice-based models) are also covered for nominal and ordinal response outcomes. The largest part of the course material is taught inside an environmental impact assessment case study with reality-based research objectives. Political and medical examples are used to illustrate the multinomial models.

Relationship to other modules

Pre-requisite(s): Undergraduate - Before taking this module you must pass 1 module from any levels matching mt4. Undergraduate - Before taking this module you must pass 1 module from any levels matching mt4. Undergraduate - Before taking this module you must pass 1 module from any levels matching mt4

Anti-requisite(s): You cannot take this module if you take MT4607

Learning and teaching methods and delivery

Weekly contact: 6 hours lectures, 1.5 hours tutorials and 6 hours practicals (x 5 weeks).

Scheduled learning hours: 54

Guided independent study hours: 146

Assessment pattern

As used by St Andrews: 2-hour Written Examination = 50%, Coursework = 50%

As defined by QAA
Written examinations : 50%
Practical examinations : 0%
Coursework: 50%

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

Personnel