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MT3508 Applied Statistics

SCOTCAT credits:15
Academic year(s):2017/8
SCQF Level 9
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 (permutation and randomization 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 by bootstrap. Applications include multiple regression, analysis of variance, the general (normal) linear model and an introduction to generalized linear models and generalized additive models.

Place in programme(s) and relationship to other modules


Compulsory for BSc/MA Statistics degrees (both single and joint Honours) and for MMath Statistics

Optional for all other undergraduate programmes in the School of Mathematics & Statistics.

UG Pre-requisite(s):MT2508
UG Anti-requisite(s):MT3606
UG Modules required for:MT4501, MT5751

Learning and teaching methods and delivery

Weekly contact:2.5 hours of lectures and 1 tutorial.
Total module hours:
  • Scheduled learning: 35
  • Guided independent study: 115

Assessment pattern

UG As defined by QAA:
  • Written examinations: 90%
  • Practical examinations: 0%
  • Coursework: 10%
UG As used by St Andrews:2-hour Written Examination = 90%, Coursework (Project) = 10%
UG Re-assessment:2-hour Written Examination = 100%


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