BASS Social Anthropology and Criminology / Course details

Year of entry: 2022

Course unit details:
Applied Statistics for Social Scientists

Unit code SOST20142
Credit rating 20
Unit level Level 2
Teaching period(s) Semester 2
Offered by School of Social Sciences
Available as a free choice unit? Yes


The main topics to be covered are:

Data exploration and visualization using R

Descriptive statistics

Modelling with Continuous Data

Modelling with categorical Variables


The course unit aims:

The aims of this course are for each student to achieve:

(i) an introductory to data cleaning and exploration

(ii) an understanding of basic statistics tests

(iii) an understanding of multivariate statistical analysis

(iv) 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%

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 131

Teaching staff

Staff member Role
Alexandru Cernat Unit coordinator

Return to course details