Description
This (non-credit bearing) module aims to review the prerequisite undergraduate material assumed for the further study of statistics in the taught postgraduate degree programmes offered by the Department of Statistical Science, or jointly with other departments. Students will review and complete exercises on basic probability theory, statistical estimation and hypothesis testing, practical statistics and associated computing.
Indicative Content - Introduction to probability, random variables, distributions, expectation, and stochastic processes. Introduction to estimation, descriptive statistics, hypothesis testing, categorical data, linear regression, Bayesian statistics, and R.
Key Texts - Available from .
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 19th August 2024.
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