Course Resources Archive

This module introduces hypothesis testing and inferential statistics to enable students to analyse and interpret biological data, building on the data handling and presentation skills learned in NS4034 Data Handling and Presentation. Students will develop an understanding of the use and abuse of statistical tests in determining the significance of differences and relationships in data sets and be taught how to apply these tests to actual biological data. The module provides a good grounding for students wishing to take NS6207 Advanced Skills for Biosciences.

The module starts by introducing the concept of testable hypotheses and the importance of the null hypothesis in inferential statistics. The differences between parametric and non-parametric statistical tests, and ways to determine which is suitable, will then be considered. Students will then use standard and specialist statistical software packages to test for differences between two or more samples, compare paired data, investigate frequency data, apply circular statistics and establish relationships using correlation and regression tests.

A student passing this module should be able to:

1. Understand the difference between null and alternative hypotheses for statistical analysis

2. Understand the differences between parametric and non-parametric statistical tests and be able to test data for parametric assumptions

3. Consider relevant aspects of datasets to select the most appropriate analytical test

4. Understand the output of statistical tests and be able to make meaningful inferences

5. Select an appropriate inferential test for a given dataset

6. Use software packages such as Excel and SPSS to carry out statistical tests quickly and accurately

The Library Catalogue contains full details of the current reading list for this module. Further details may also be found in the Module Guide.