ST40415 Applied Statistical Modelling
Introductory description
This module runs in Term 2 and is core for students on MMORSE or MMathStat courses (Integrated Masters).
It is not available as an Unusual Option to any other students.
Prerequisites: ST218, ST219 and ST221
Module aims
To introduce the art of statistical modelbuilding and to give practice in team work, in communication and presentation skills, and in writing a report on a statistical investigation.
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
 Modelling strategies for multiple regression on real data
 Diagnostic analysis for statistical linear models using R
 Extensions to the classic linear statistical model
 Generalised linear models
 Teamwork, leadership & communication
 Oral presentation and academic writing skills
Learning outcomes
By the end of the module, students should be able to:
 Be able to build, interpret and evaluate a statistical model for a real data set;
 Have gained experience of working in a team on a statistical investigation;
 Have practised their oral and written presentation skills.
Indicative reading list
S. Sheather (2009). A modern approach to regression with R. Springer Science & Business Media.
J. Derr (2000). Statistical consulting: A guide to effective communication.
J Faraway (2002): Practical Regression and ANOVA using R.
J. Fox and S.Weisberg (2002): An R Companion to Applied Regression. Springer.
View reading list on Talis Aspire
Subject specific skills
Exploratory data analysis, practical data modeling, the use of data transformations. Application of generalized linear models, model criticism: residual and influential analysis, multicollinearity, variable selection including Bayesian and shrinkage methods. Use of statistical software.
Transferable skills
Report writing and presentation skills. Team working. Use of code in programs. Critical thinking and problem solving. Selfreflection . Team management.
Study time
Type  Required 

Lectures  30 sessions of 1 hour (83%) 
Practical classes  6 sessions of 1 hour (17%) 
Total  36 hours 
Private study description
No private study requirements defined for this module.
Costs
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Students can register for this module without taking any assessment.
Assessment group A3
Weighting  Study time  

Assignment 3  35%  40 hours 
Due Term 3 Week 2. 

Assignment 2: Group Poster Presentation  10%  11 hours 
Term 2 Week 9 or 10. 

Assignment 2: Feedback and reflection  5%  6 hours 
Due Term 2 Week 8. 

Assignment 1: Slide Presentation  5%  6 hours 
Submission due Term 2 Week 5 with presentation taking place in Term 2 Week 6. 

Assignment 1: Group Report  20%  23 hours 
Due Term 2 Week 5. 

Assignment 2: Group Report  25%  28 hours 
Due Term 2 Week 8. 
Feedback on assessment
Coursework with deadline in Term 2 will have feedback within 20 working days of deadline.
Coursework with deadline in Term 3 will not have feedback returned until after the module mark is reported by the exam board.
Courses
This module is Core for:

USTAG300 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics
 Year 3 of G30A Master of Maths, Op.Res, Stats & Economics (Actuarial and Financial Mathematics Stream)
 Year 3 of G30B Master of Maths, Op.Res, Stats & Economics (Econometrics and Mathematical Economics Stream)
 Year 3 of G30C Master of Maths, Op.Res, Stats & Economics (Operational Research and Statistics Stream)
 Year 3 of G30C Master of Maths, Op.Res, Stats & Economics (Operational Research and Statistics Stream)
 Year 3 of G30D Master of Maths, Op.Res, Stats & Economics (Statistics with Mathematics Stream)

USTAG301 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics (with Intercalated
 Year 3 of G30E Master of Maths, Op.Res, Stats & Economics (Actuarial and Financial Mathematics Stream) Int
 Year 3 of G30F Master of Maths, Op.Res, Stats & Economics (Econometrics and Mathematical Economics Stream) Int
 Year 3 of G30G Master of Maths, Op.Res, Stats & Economics (Operational Research and Statistics Stream) Int
 Year 3 of G30H Master of Maths, Op.Res, Stats & Economics (Statistics with Mathematics Stream)
 Year 4 of G30E Master of Maths, Op.Res, Stats & Economics (Actuarial and Financial Mathematics Stream) Int
 Year 4 of G30F Master of Maths, Op.Res, Stats & Economics (Econometrics and Mathematical Economics Stream) Int
 Year 4 of G30G Master of Maths, Op.Res, Stats & Economics (Operational Research and Statistics Stream) Int
 Year 4 of G30H Master of Maths, Op.Res, Stats & Economics (Statistics with Mathematics Stream)
 Year 3 of USTAG1G3 Undergraduate Mathematics and Statistics (BSc MMathStat)
 Year 4 of USTAG1G4 Undergraduate Mathematics and Statistics (BSc MMathStat) (with Intercalated Year)
This module is Optional for:
 Year 1 of TMAAG1PE Master of Advanced Study in Mathematical Sciences