**Academic Year/course: 2017/18**

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**450 - Degree in Marketing and Market Research**

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**27609 - Statistics I**

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Syllabus Information
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__Syllabus Information__

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**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. *