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Statistical Modelling

Key information

  • Module code:

    5CCM242A

  • Level:

    5

  • Semester:

      Spring

  • Credit value:

    15

Module description

Syllabus:

Linear models, regression analysis, analysis of variance, applications in various fields. Using a specialised statistical software package to analyse linear models. 

Prerequisites: 

5CCM241A Probability and Statistics II

Assessment details

Written examination and data analysis project.

Educational aims & objectives

This module introduces students to the theory, methods and applications of linear models. The theory of the general linear model will be introduced, with an emphasis on widely used methods such as regression analysis, analysis of variance, etc. Applications in various fields will be used to give students experience of applying the methods using a specialised statistical software package to analyse linear models.

Learning outcomes

Be able to carry out regression analysis and interpret the results. Be able to fit a model to data and comment on the adequacy of the model. Be able to use a statistical software package to analyse real world data.

Teaching pattern

3 hours of lectures per week with 1 hour of tutorial or practical lab (in alternating weeks)

Suggested reading list

Suggested reading/resources (link to My Reading Lists)

Module description disclaimer

King’s College London reviews the modules offered on a regular basis to provide up-to-date, innovative and relevant programmes of study. Therefore, modules offered may change. We suggest you keep an eye on the course finder on our website for updates.

Please note that modules with a practical component will be capped due to educational requirements, which may mean that we cannot guarantee a place to all students who elect to study this module.

Please note that the module descriptions above are related to the current academic year and are subject to change.