Module description
This module covers three application areas of statistics: multivariate methods, demography and epidemiology and sampling.
Module aims
The aim of this module is:
- To foster statistical thinking and create data scientists that have both theoretic knowledge and application skills.
Module learning outcomes
By the end of the module, students will be expected to:
- Understand and to apply multivariate methods;
- Assess the results of discriminant analysis, principal components, cluster analysis and multivariate analysis of variance;
- Understand and to apply demographical and epidemiological methods;
- Understand and to apply sampling methods.
From https://www1.essex.ac.uk/modules/Default.aspx?coursecode=MA321&level=6&period=SP&campus=CO&year=23 (last access 18 February 2024)
- Module Supervisor: Oludare Ariyo
- Module Supervisor: Stella Hadjiantoni
- Module Supervisor: Berthold Lausen