Description
This module aims to provide an introduction to statistical methods and interpretation of data, along with associated computing, and to provide some expertise in applying quantitative methods in the Life and Physical Sciences. It is intended for students registered on undergraduate degree programmes outside of the Department of Statistical Science.
Intended Learning Outcomes
- have an understanding of basic methods of descriptive statistics, confidence intervals and significance tests;
- be able toÌýapply these methods to simple standard situations in one'sÌýown field of study.
Applications - The statistical methods covered are useful in the routine analysis of scientific methods, as might be encountered in other modules.
Indicative Content - Descriptive statistics and graphical methods. Introduction to probability theory. Use of normal, binomial and Poisson distributions. Confidence intervals and significance tests applied to one and two sample problems by parametric and non-parametric methods. Goodness-of-fit and contingency tables. Correlation and regression. Use of computer software for statistical purposes.
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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