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MA50259: Statistical design of investigations

[Page last updated: 05 August 2021]

Academic Year: 2021/2
Owning Department/School: Department of Mathematical Sciences
Credits: 6 [equivalent to 12 CATS credits]
Notional Study Hours: 120
Level: Masters UG & PG (FHEQ level 7)
Semester 2
Assessment Summary: CW 100%
Assessment Detail:
  • Coursework 1 (CW 50%)
  • Coursework 2 (CW 50%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites: Before taking this module you must take XX50215
Description: Aims:
To understand the statistical aspects of the design of experimental and observational studies, and the associated methods of statistical analysis.

Learning Outcomes:

* Understand the principles of experimental design and observational studies
* Analyse data from experimental designs
* Employ sampling schemes with appropriate analyses.

Problem solving (T, F, A), computing (T, F, A), written communication (F, A).

Design of Experiments: principles of experimental design; planning of experiments; comparative experiments; and selected topics from common designs: completely randomised, randomised blocks, factorial experiments; fixed and random effects; associated analyses - analysis of variance. Observational studies v. experiments: problems of bias, confounding, difficulty of causal interpretation; planning observational studies; analysis: matching, adjusting for confounding variables; cohort studies; case-control studies.
Sampling target and sampled populations, finite populations, simple random sampling and selected topics from stratification and cluster sampling, ratio and regression estimators, randomised response methods.

Programme availability:

MA50259 is Compulsory on the following programmes:

Department of Computer Science


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