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Specific competences: 1. To know the basic concepts population, sample, variable and statistics. 2. To be able to summarize a random sample by means of center and variability measures. 3. To understand the use of graphical methods and to show the important features of a sample. 4. To undersdand and know the concepts and results derived from a regression analysis. 5. To be able to use statistical software. Cross competences: 1. Analysis and synthesis capacity. 2. Computing skills. 3. Solution of problems. 4. Team work. 5. Critic reasoning. 6. Oral and writting communication skills.

1. Introduction to Statistics 1.1. ¿What is Statistics? 1.2. Types of variables. 2. Analysis of univariate data. 2.1. Frecuency tables and univariate diagrams. 2.2. Location measures. 2.3. Dispersion and shape measures. 3. Analysis of bivariate data. 3.1. Crosstabulations. 3.2. Correlation. 3.3. Regression. 4. Probability. 4.1. Introduction. 4.2. Random variables. 4.3. Probablilistic models. 5. Introduction to Statistical Inference. 5.1. Introduction. 5.2. Confidence intervals. 5.3. Hypothesis testing.

Different activities will be proposed: forums, Handouts, Tests and computer tasks.