BASS Politics and Sociology

The main topics to be covered are:

• Data exploration and visualization using R
• Descriptive statistics
• Modelling with Continuous Data
• Modelling with categorical Variables

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

• 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

Lectures, tutorials, practicals and coursework.

Please note the information in scheduled activity hours are for guidance only and may change.

Formative essay (500 words) - 0% of grade

Feed-back on group presentation

Feed-back on individual based essay

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.