MA317-6-AU-CO:
Modelling Experimental Data

The details
2016/17
Mathematics, Statistics and Actuarial Science (School of)
Colchester Campus
Autumn
Undergraduate: Level 6
Current
15
06 February 2014

 

Requisites for this module
MA114 and MA207
(none)
(none)
(none)

 

MA321

Key module for

BSC 5B43 Statistics (Including Year Abroad),
BSC 9K12 Statistics,
BSC 9K13 Statistics (Including Placement Year)

Module description

This module is concerned with the application of linear models to the analysis of data. The underlying assumptions are discussed and general results are obtained using matrices. The standard approach to the analysis of normally distributed data using ANOVA is introduced. Methods for the design and analysis of efficient experiments are introduced. The general methodology is extended to logistic regression.


Learning Outcomes

On completion of the module students should be able to:


- calculate confidence intervals for parameters and prediction intervals for future observations;
- understand how to represent a linear model in matrix form;
- check model assumptions and identify influential observations;
- identify simple designed experiments;
- construct factorial experiments in blocks;
- adapt linear models to fit growth curves;
- work efficiently in small groups to analyse data;
- analyse linear models using R.

Module aims

No information available.

Module learning outcomes

No information available.

Module information

Available independently to Socrates/IP students spending all relevant terms at Essex.

Learning and teaching methods

The module has 33 contact hours in total. These consist of 20 lectures, 5 labs and 5 classes during the spring term, together with 3 revision lectures in the summer term.

Bibliography

(none)

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Coursework weighting
Coursework   Group Presentation    0% 
Coursework   Group Project Report     100% 
Exam  Main exam: 180 minutes during Summer (Main Period) 

Additional coursework information

Information about coursework deadlines can be found in the "Coursework and Exams" section of the Current Students, Information for Students Maths web pages: Coursework and Test Information

Exam format definitions

  • Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
  • In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
  • In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
  • In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary, for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.

Your department will provide further guidance before your exams.

Overall assessment

Coursework Exam
20% 80%

Reassessment

Coursework Exam
0% 0%
Module supervisor and teaching staff
Dr Martin Griffiths, email griffm@essex.ac.uk, tel 01206 873027
Miss Claire Watts, Department Manager, Tel. 01206 873040, email cmwatts@essex.ac.uk

 

Availability
Yes
Yes
No

External examiner

Prof John Nigel Scott Matthews
The University of Newcastle-upon-Tyne
Professor of Medical Statistics
Resources
Available via Moodle
Of 31 hours, 26 (83.9%) hours available to students:
4 hours not recorded due to service coverage or fault;
1 hours not recorded due to opt-out by lecturer(s).

 

Further information

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