First oportunity:

The final exam of the subject will include theoretical and practical questions of multiple options, although there is also the possibility of the inclusion of questions with longer answers and problems (40%). The aspects and criteria that will be considered to evaluate activities of the Practices through the TIC (30%) and seminars (30%) are the contents addressed, demonstrated knowledge and competences referred for this matter. The qualification system shall be expressed by numerical qualification in accordance with the provisions of art. 5 del Real Decreto 1125/2003 of September 5 (BOE September 18), establishing the European system of credits and the system of qualifications in university degrees of official character and valid throughout the national territory. Qualification system: 0-4.9 = Fail 5-6.9 = Approved 7-8.9 = Notable 9-10 = Outstanding 9-10 Honor Registration (“Graciable”).

Those students who have some kind of exceptionality to attend the class legally granted speak with the teacher at the beginning of the course to establish the corresponding tutorials and evaluation systems.

Since the degree to which it belongs is to be extinguished, this is a subject without teaching.

Second oportunity:

The same procedure corresponding to the first oportunity will be applied in the second opportunity.

Learning outcomes	Study programme competences
Coñecer as medidas descriptivas e representacións gráfias de datos máis usuais.	A1
Habilidade en sintetizar e analizar descriptivamente e gráficamente un conxunto de datos.	A2
Coñecemento do concepto de probabilidade, regras de cálculo probabilístico e modelos probabilísticos máis usuais.	A4
Coñecemento das técnicas de inferencia básicas e habilidade no cáculo e interpretación de intervalos de confianza e contraste de hipótesis nunha e dúas poboacións.	A8
Capacidade de aplicar ferramentas informáticas para o desenvolvemento e a explotación de sistemas de información.	A5		C2
Integrar os coñecementos teóricos e prácticos como vía para o desenvolvemento dun coñecemento e pensamento reflexivo e totalizador respecto á estatística.	A2	B6	C2
Capacidade de análise e de síntese aplicada á xestión e organización da información		B6

Topic	Sub-topic
Tema 1. Descriptive statistics of one variable.	Aims of statistics. General concepts. Data representation. Descriptive measurements. Proportion and index numbers.
Tema 2. . Descriptive statistics of two variables.	Descriptive statistics of two variables. Dependency relationship between qualitative variables. Dependency relationship between quantitative variables: simple linear regression.
Tema 3. Index numbers and time series in documentation.	Index numbers. Simple and composite indexes. Indicators in libraries and documentation. Indices used in databases of ISI (Journal Citation Report). New alternatives: H index. Introduction to descriptive analysis of time series. Series of accelerated growth and other bibliometric processes: law of cumulative advantage of Price.
Tema 4. Statistical research concepts of special interest in Science Information and Documentation.	Statistical models used in documentation. The distribution of words in texts: Zipf's law. Process modeling. Refinement of the model. Both-Federowicz equation, Brookes equation, generalized equation of Mandelbrot.
Tema 5. Elementary notions of probability.	Basic concepts. Operations with events. Laplace rule. Properties of probability. Conditional probability. Product rule, rule of total probability, Bayes rule. Applications to documentation problems.
Tema 6. Discrete and continuos random variables.	Random Variable Definition. Discrete random variables. Binomial distribution and Poisson distribution. Continuous random variables. Normal distribution.
Tema 7. Introduction to statistical inference.	Introduction. Confidence intervals. Hypothesis testing.
Tema 8. Sources of statistical information	Organization of official statistics on the national and international domain (UN agencies, EUROSTAT, INE, IGE, etc.). Main statistics on the socio-economic domain (demographic economic statistics, social, employment, ...).

Methodologies / tests	Competencies	Ordinary class hours	Student’s personal work hours	Total hours
ICT practicals	A1 A2 A4 A5 A8 B6 C2	0	50	50
Seminar	A2 A4	0	50	50
Objective test	A2 A4 A5 A8 B6	2	47	49

Personalized attention		1	0	1

(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies	Description
ICT practicals	The student will acquire skills and knowledge of statistical software, in particular of the R software. They will solve practical cases of data analysis through the application of computer tools.
Seminar	The student will solve practical problems through the application of statistical techniques, using the acquired theoretical knowledge.
Objective test	Final exam of the theoretical and practical contents consisting of multiple choice questions and / or problem solving.

Methodologies	Competencies	Description	Qualification
Seminar	A2 A4	Problem solving proposed by the teacher.	30
Objective test	A2 A4 A5 A8 B6	It will consist of an examination of questions to be developed and / or questions with multiple answers lasting 2 hours.	40
ICT practicals	A1 A2 A4 A5 A8 B6 C2	Group or individual work in which practical assumptions will be developed through the use of a statistical package.	30

Assessment comments
First oportunity: The final exam of the subject will include theoretical and practical questions of multiple options, although there is also the possibility of the inclusion of questions with longer answers and problems (40%). The aspects and criteria that will be considered to evaluate activities of the Practices through the TIC (30%) and seminars (30%) are the contents addressed, demonstrated knowledge and competences referred for this matter. The qualification system shall be expressed by numerical qualification in accordance with the provisions of art. 5 del Real Decreto 1125/2003 of September 5 (BOE September 18), establishing the European system of credits and the system of qualifications in university degrees of official character and valid throughout the national territory. Qualification system: 0-4.9 = Fail 5-6.9 = Approved 7-8.9 = Notable 9-10 = Outstanding 9-10 Honor Registration (“Graciable”). Those students who have some kind of exceptionality to attend the class legally granted speak with the teacher at the beginning of the course to establish the corresponding tutorials and evaluation systems. Since the degree to which it belongs is to be extinguished, this is a subject without teaching. Second oportunity: The same procedure corresponding to the first oportunity will be applied in the second opportunity.

Basic	Marín, J. (1999). Estadística Aplicada a las Ciencias de la Documentación. Murcia: Diego Marín Editor Peña, D. (2001). Fundamentos de estadística. Madrid: Alianza Cao, R., Francisco, M., Naya, S., Presedo, M.A., Vázquez, M., Vilar, J.A. y Vilar, J.M. (2001). Introducción a la Estadística y sus aplicaciones. Madrid: Ediciones Pirámide Egghe, L. y Rousseau, R. (1990). Introduction to Infometrics. Quantitative Methods in Library, Documentation and Information Science. Amsterdam: Elsevier Cao, R., Labora, A., Naya, S. e Ríos, M. (2001). Métodos estatísticos e numéricos. A Coruña: Baía Edicións Stephen, P. and Hornby, S. (1997). Simple statistics for library and information professionals. London: Library Association Publishing Moya, F., López, J. y García C. (1996). Técnicas Cuantitativas Aplicadas a la Biblioteconomía y Documentación. Madrid: Síntesis

Complementary	Gonick, L. e Smith, W. (2001). A estatística ¡en caricaturas!. Lugo: SGAPEIO S. Alonso, F.J. Cabrerizo, E. Herrera-Viedma ,F.Herrera (2009). h-Index: A review focused in its variants, computation and standardization for different scientific fields. Journal of Informetrics: ELSEVIER Judit Bar-Ilan (2008). Informetrics at the beginning of the 21st century—A review. Journal of Informetrics: ELSEVIER