Universidad de Jaén

Content Description:

1. Introduction to Descriptive Statistics.

          1.1. Basic concepts in descriptive statistics.

          1.2. Statistical variables one-dimensional.

                 1.2.1. Frequency tables and graphical representations.

                 1.2.2. Measures of position, variation and shape.

                 1.2.3. Measures of equidistribution.

          1.3. Introduction to two-dimensional descriptive statistics.

1. Descriptive analysis of a time series.

          2.1. Introduction.

          2.2. Time series components.

          2.3.  Determination of the trend.

          2.4. Determination of seasonal variations.

          2.5. Seasonality

1. Index numbers.

          3.1. Simple indexes

          3.2. Composite indexes.

          3.3. Prices, quantities and value indexes.

          3.4. Shifting and splicing of indexes.

          3.5. Deflation.

1. Introduction to Probability Theory

          4.1. Definition of probability.

          4.2. Conditional probability.

          4.3. Independent events.

          4.4. Basic theorems in the computation of probability.

1. Random variable.

          5.1. Discrete random variables. Probability mass function.

          5.2. Continuous random variables. Probability density function.

          5.3. Random vectors. Characteristics.

1. Probability distributions models.

          6.1. Discrete probability distribution models.

          6.2. Continuous probability distribution models.

          6.3. Approximation between distributions. Central Limit Theorem.

Course Description and Teaching Methodology

Teaching sessions are structure in theoretical and practical sessions.

In the theoretical sessions, the masterclass will be used to introduce the essential concepts with the support of different materials edited for that purpose (notes, sides and practical examples obtained from the manuals indicated in the bibliography) that will be accessible through the ILIAS teaching-learning platform.

During the practical sessions, proposed exercises related to the theoretical contents will be solved on the board and also using a statistical software (Statgraphics, SPSS and/or R). The list of proposed exercises should be solve by the students and exposed in class to the rest of the students for further study.

Students with special educational needs should contact the Student Attention Service (Servicio de Atención y Ayudas al Estudiante) in order to receive the appropriate academic support

Assessment methodology

The evaluation procedure is mainly based on:

1.   A written exam to solve practical exercises related to the contents of the course. It could include short questions or select-options questions to assess the comprehension level on basic concepts (80%). 
2.   A test to assess the acquired ability with the statistical software and the capability of the student to select the appropriated method and provide accurate conclusions (20%). The qualification obtained in this part in the ordinary call II, may be saved for      extraordinary calls. If someone decides to repeat this exam in the extraordinary calls, the mark obtained in it will be the one that counts