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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

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

Lecture classes for the presentation of fundamental concepts, Practical classes in computer labs, Tutorials in groups and individual