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 web page
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. You will use provided data sets to devise research questions, carry out analysis and then present, discuss and evaluate the results. 500 words is equivalent to one page of text, diagrams, formula or equations; your ST404 Assignment 3 should not exceed 7 pages in length.

Assignment 2: Group Poster Presentation

10%

11 hours

Term 2 Week 9 or 10. An A1 poster containing a description of your methodology and findings, for a nonspecialist audience.

Assignment 2: Feedback and reflection

5%

6 hours

Due Term 2 Week 8. Produce feedback on your team work experience as part of ST404. Describe, critically discuss and reflect on what you have learned. 500 words is equivalent to one page of text, diagrams, formula or equations; your ST404 Assignment 2: Feedback and reflection should not exceed 2 pages in length.

Assignment 1: Slide Presentation

5%

6 hours

Submission due Term 2 Week 5 with presentation taking place in Term 2 Week 6.
A 10 minute oral presentation of the analysis and main findings of the assignment that is visually appealing to a nontechnical audience.

Assignment 1: Group Report

20%

23 hours

Due Term 2 Week 5. A formal report, to professional standards, presenting the analysis and findings of the group from the task set. 500 words is equivalent to one page of text, diagrams, formula or equations; your ST404 Assignment 1: Group Report should not exceed 5 pages in length.

Assignment 2: Group Report

25%

28 hours

Due Term 2 Week 8. A report presenting the analysis and findings of the group from the task set. 500 words is equivalent to one page of text, diagrams, formula or equations; your ST404 Assignment 2: Group Report should not exceed 7 pages in length.

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