27609 - Statistics I
450 - Degree in Marketing and Market Research
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.