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Description
This module aims to extend students' practical experience of statistical software environments; to extend students' abilities in applying ideas and methods already taught in a practical context, and to enable students to perform computer-assisted statistical analyses. It is intended for second and third year students registered on the undergraduate degree programmes offered by the Department of Statistical Science (including the MASS programmes).听For these students, the academic prerequisites for this module are met through compulsory study earlier in their programme.
Intended Learning Outcomes
- be able to independently perform a systematic analysis with the statistical software suites R and SAS to answer data-based or methodological questions;
- be able to听report on this analysis听according to the scientific state-of-the-art.
Applications - This module provides training in performing statistical analyses with the R and SAS statistical software suites. R is one of the most widely used non-commercial statistical software packages, predominant in research and specialised areas in industry, which can easily be used for non-routine statistical analyses. SAS is the commercial statistical analytics suite with the largest worldwide market-share, widely-used in business and industry. The module provides, amongst others, basic programming skills, an introduction to R and SAS, and practice in basic statistical analysis workflows.
Indicative Content - Introduction to SAS commands and the R environment. Use of these packages for descriptive statistics, graphics, and for fitting regression and ANOVA Models. Non-linear regression and generalised linear model fitting, simulation, programming and numerical maximisation/minimisation.
Key Texts - Available from .
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 8th April 2024.
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