27509  Statistics I
Basic Education
5.2. Learning tasks
There are programmed several types of learning activities in order to achieve the objectives of the subject.
(*) Theoretical sessions: These sessions will be taught by means of participative master classes where a set of slides will be used in order to explain the theoretical part of the subject. The aim of these sessions will be to establish the theoretical foundations of each theme, illustrating the studied concepts and ideas by means of illustrative practical examples. It is recommended to attend to these sessions because, in our experience, the theoretical part of the subject is the more difficult part to understand and study.
(**)Practical Blackboard sessions: These sessions will be devoted to the resolution of illustrative problems in the blackboard. To that aim an illustrative set of completely solved problems will be given to the students together with a set of some unsolved problems with their final solutions. In these sessions some of these problems will be solved in the blackboard by promoting the participation of the students in their resolution.
(***) Practical computer sessions: These sessions will be carried out in the computer rooms with the students working by teams. In these classes some supervised problems will be setup by the teacher and will be solved by the different teams during half hour with a posterior half an hour to discuss among all the groups, the obtained results.
(****) Personal tutorials: These tutorials will have located in the teacher’s office by appointment and will be devoted to solve particular doubts about concepts, problems, etc previously explained in the theoretical and practical sessions.
Platform Moodle 2.0 will be used to publish all the theoretical and practical materials and all the information about the development of the subject along time.
Teaching activities (in credits ECTS): 6 ECTS=150h
Activities

Teaching hours

Hours of personal work

Total

Theoretical sessions (one group)
Practical computer sessions (two subgroups)
Practical blackboard sessions (two subgroups)
Practical P6 (two subgroups)
Computer Tests (four subgroups)
Final exam

30
22
4
4
2
3

30
43
6
6

60
65
10
10
2
3

TOTAL

65

85

150

5.3. Syllabus
Lesson 1: Statistical Methods in Business and Economics
Introductio. 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. Nonlinear 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. Settingup a decisión problem. Decision Making under total and partial uncertainty. Bayes rule. Value and efficiency of the information.