Syllabus Information

5.3. Syllabus

Lesson 1: Statistical Methods in Business and Economics

Introduction. Historical Evolution. Concept of Estadístics. The statistical method. Statistics in Business and Economics

Lesson 2: Scales of Measurement and Information Sources

Introduction. Information Sources. Basic Concepts. Data and variables. Scales of Measurement.

Lesson 3: Describing Univariate Data: Frequency Tables and Graphic Presentation.

Frequency Tables. Graphical Presentations

Lesson 4: Describing Univariate Data: Numerical Measures

Introduction. Location measures. Variability measures. Skewness and Curtosis. Boxplot diagrammes. Other measures.

Lesson 5: Describing Bivariate Data: Frequency Tables and Graphic Presentation

Introduction. Joint, marginal and conditional frequencies distributions. Independence. Graphical Presentations.

Lesson 6: Correlation and Simple Linear Regression

Introduction. Scatter Diagrammes. Covariance and correlation. Linear regression simple: least squares criterion. Goodness of fit and correlation. Prediction. Non-linear regression.

Lesson 7: Indices Numbers

Introduction. Simple and complex indices. Deflation economic series. Link and change of base. Repercussion. Some notable economic índices.

Lesson 8: Probability

Introduction. Concept of Probability: Kolmogorov axiom’s. Laplace rule. Combinatorics. Conditional Probability. Theorem of total probability. Theorem of Bayes.

Lesson 9: Statistical Decision Theory

Introduction. Setting-up a decisión problem. Decision Making under total and partial uncertainty. Bayes rule. Value and efficiency of the information.