Last modified: 22 May 2019 17:07
This course is a mix of 1 hour lectures and 1 hour practical sessions using statistical analysis software (SPSS). It is very much a ‘hands-on’ course and a wide range of datasets are employed to give you confidence in the application of statistical techniques. The course is designed to give you the skills to undertake exploratory data analysis, test for relationships (using correlation and regression), and test for differences between sample data (from the Sciences and Social Sciences). Classical statistical analysis techniques are introduced and the value of multivariate statistics to detect patterns in complex data sets is also explored.
|Session||First Sub Session||Credit Points||15 credits (7.5 ECTS credits)|
Information on contact teaching time is available from the course guide.
1st Attempt: 100% coursework - Students complete 3x short assignments (each worth 10%), plus one longer assignment (worth 70%).
Resit: Resubmission of failed project work, with the mark for those components to be capped at CAS 9
There is no stand-alone, formal formative assessment. However, feedback on summative assessments should help students to improve their subsequent performances within the course.