
Apply through UCAS
- UCAS course code
- LL23
- UCAS institution code
- M20
Course unit details:
Applied Statistics for Social Scientists
Unit code | SOST10142 |
---|---|
Credit rating | 20 |
Unit level | Level 1 |
Teaching period(s) | Semester 2 |
Offered by | Social Statistics |
Available as a free choice unit? | Yes |
Overview
The main topics to be covered are:
- Data exploration and visualization using R
- Descriptive statistics
- Modelling with Continuous Data
- Modelling with categorical Variables
Aims
The aims of this course are for each student to achieve:
- an introductory to data cleaning and exploration
- an understanding of basic statistics tests
- an understanding of multivariate statistical analysis
- an ability to use statistical software R
Learning outcomes
- be able to import and export data in R
- be able to prepare data in R
- be able to produce visualisations of data
- be able to understand and run descriptive statistics in R
- be able to understand and run a battery of test of hypothesis in R
- be able to understand and run a variety of statistical models in R
Teaching and learning methods
Lectures, tutorials, practicals and coursework.
Please note the information in scheduled activity hours are for guidance only and may change.
Assessment methods
Method | Weight |
---|---|
Written assignment (inc essay) | 75% |
Set exercise | 25% |
Feedback methods
Formative essay (500 words) - 0% of grade
Feed-back on group presentation
Feed-back on individual based essay
Recommended reading
Agresti, A., & Finlay, B. (2009). Statistical methods for the social sciences. Upper Saddle River, NJ: Pearson Prentice Hall.
Wickham, H., & Grolemund, G. (2017). R for Data Science. s.l: O’Reilly UK Ltd.
Hothorn, T., & Everitt, B. (2014). A handbook of statistical analyses using R (Third edition). CRC Press, Taylor & Francis Group.
Study hours
Scheduled activity hours | |
---|---|
Lectures | 20 |
Practical classes & workshops | 8 |
Independent study hours | |
---|---|
Independent study | 172 |
Teaching staff
Staff member | Role |
---|---|
Diego Perez Ruiz | Unit coordinator |