SPECIFICS OBJECTIVES: To gain knowledge and understanding in: 1. Learning to organize, synthesize and analyze univariate and bivariate data. 2. Understanding and interpretation of published statistical studies (samples, economic predictions, papers from INE, Eurostat, etc). 3. Carrying out simple statistical analyeses using software. TRANSVERSE OBJECTIVES: 1. Capacity of analysis and synthesis. 2. Knowing how to use statistical software. 3. Problem solving. 4. Teamwork. 5. Critical reasoning. 6. Verbal and written communication.

1. Introduction. 1.1. Concept and uses of statistics. 1.2. Statistical terminology: populations, subpopulations, individuals and samples. 1.3. Types of variable. 2. Analysis of univariate data. 2.1. Representations and graphs of qualitative data. 2.2. Representations and graphs of quantitative data. 2.3. Numerical summary. 3. Analysis of bivariate data. 3.1. Representations and graphs of qualitative and discrete data. 3.2. Representations and graphs of continuous data: correlation and regression. 4. Probability and probability models. 4.1. Random experiment, simple space, elementary and composite events. 4.2. Properties of probability. 4.3. Conditional probability and its properties. 4.4. Random variables and their characteristics. 4.5. Bernoulli trials and related distributions. 4.6. The normal distribution. 5. Introduction to statistical inference. 5.1. Ideas and objectives. 5.2. Point estimation. 5.3. Interval estimation. 5.4. Fundamental concepts of hypothesis tests. 5.5. Tests for the mean in normal populations. 5.6. Tests for proportions.

Theory (3 ECTS). Theory clases will with background materials available on AULA GLOBAL. Practical (3 ECTS) Problem solving. Computer practicals using Excel. Verbal expositions and debates.