Checking date: 20/06/2022

Course: 2022/2023

Statistical crime analysis
Study: Bachelor in Management of Public Security (341)

Coordinating teacher: WIPER , MICHAEL PETER

Department assigned to the subject: Statistics Department

Type: Compulsory
ECTS Credits: 6.0 ECTS


Requirements (Subjects that are assumed to be known)
Know the basic rules of probability Manage the most important probability distributions Synthesize statistical information in tabular, numerical and graphical form Obtain the distribution in the sampling of estimators in normal populations, raise hypothesis contrasts and construct the corresponding confidence intervals To propose and validate the linear regression model as a model of relationship between variables To practice in the computer the construction of models, contrasts and confidence intervals Apply these procedures to the treatment of statistical problems in security management and criminology
Skills and learning outcomes
Description of contents: programme
Content leading to the acquisition of knowledge in: -Introduction to probability and statistics: concept of probability and basic rules, distributions, descriptive statistics for one and several variables -Introduction to statistical inference: confidence intervals and hypothesis contrasts for mean and variance; Comparisons of means between two populations -Relations between variables: introduction to linear models, estimation of model parameters and inference about these parameters -Applications to security management and criminology
Learning activities and methodology
Lecture classes for the presentation of fundamental concepts, Practical classes in computer labs, Tutorials in groups and individual
Assessment System
  • % end-of-term-examination 40
  • % of continuous assessment (assigments, laboratory, practicals...) 60
Calendar of Continuous assessment
Basic Bibliography
  • J.M. Gau. Statistics for Criminology and Criminal Justice. SAGE Publications. 2015
  • R.D. Bachman & R. Paternoster. Statistics for Criminology and Criminal Justice. SAGE Publications. 2016
Recursos electrónicosElectronic Resources *
Additional Bibliography
  • D. Rowntree. Statistics Without Tears. Penguin. 2018
(*) Access to some electronic resources may be restricted to members of the university community and require validation through Campus Global. If you try to connect from outside of the University you will need to set up a VPN

The course syllabus may change due academic events or other reasons.