Statistics and Experimental Design module (BS21001)

​​Being able to design a good experiment and analyse the data it generates, is one of the most important skills a life scientist can have. This module gives you a broad, practical foundation in statistics and experimental design. You will cover topics like: 

• ​How datasets are structured 
• ​How differences between groups are detected 
• ​How findings are interpreted and communicated 

​Other key topics that you will cover include 

• ​Experimental design 
• ​Regression 
• ​ANOVA with post-hoc testing 
• ​Model comparison 
• ​Appropriate graphing & Data representation 

​What you will learn 

​In this module, you will: 

• ​build a broad knowledge base in statistics and experimental design. Your focus will be on how these are applied to the life sciences 

​By the end of this module, you will be able to: 

• ​show a deeper understanding of how statistics applies to biological and biomedical datasets. You will also understand why this matters for your further studies 
• ​apply appropriate hypothesis tests to datasets generated within and beyond the module 
• ​assess and use a range of learning materials to support your studies 
• ​design experiments, assess data quality, and interpret the results of statistical analysis​ 

Assignments / assessment

​​Class assessments (40%) 

• ​This will consist of an in-course applied statistics test and a formative in-course skills inventory 

​Exam (60%) 

• ​This will consist of an end-of-semester knowledge and understanding test​ 

Teaching methods / timetable

• ​​blended learning using a variety of delivery formats and technologies 
• ​self-directed study