ECTS credits ECTS credits: 6
ECTS Hours Rules/Memories Student's work ECTS: 99 Hours of tutorials: 3 Expository Class: 24 Interactive Classroom: 24 Total: 150
Type: Ordinary Degree Subject RD 1393/2007 - 822/2021
Center Faculty of Communication Science
Call: First Semester
Teaching: Sin Docencia (En Extinción)
Enrolment: No Matriculable (Sólo Planes en Extinción)
The subject aims to provide the students with the knowledge and use of the basical statistical techniques necessary for the descriptive analysis of data (analysis and descritive resume of data, characteristic relations, sampling, time data series, index numbers, variation measures,...), treatment of this information in the media and the main statistical operations applied to the Communication. Study of useful statistical methods for its application in communication research.
Special attention will be paid to the practical applications of Statistics in all media where those applications appear.
-Presentation of the data and use of statistical language in media.
-Calculation and summary of numerical and qualitative information.
-Statistical analysis of information.
-Computer software for obtaining statistical results.
-Obtaining detailed statistical information and data base resources.
-Interpretation and application of the statistical analysis in the mass media
UNIT 1. INTRODUCTION.
1.1.Introduction to the concept of Statistics.
1.2. General Statistics Terms.
UNIT 2. ONE DATA SERIES ANALYSIS
2.1. Tabulation of variables and frequencies distributions.
2.2. Graphical representations.
2.3. Position measures.
2.4. Dispersion measures.
2.5. Shape and concentration measures.
UNIT 3. INDEX NUMBERS
3.1. Main variation rates.
3.2. Simple and compound indexes.
3.3. Change of base.
3.4. Indexes of prices, quantities and value.
3.5. Deflation.
3.6. Consumer Prices Index. Other index.
UNIT 4. TIME SERIES.
4.1. Descriptive modeling of a temporal series.
4.2. Time series components.
UNIT 5. MORE THAN ONE DATA SERIES ANALYSIS. RELATIONSHIP
5.1. Two-dimensional distributions. Tabulation.
5.2. Graphical representations.
5.3. Relations betweeen characteristics. Statistical independence.
5.4. Correlation and association.
UNIT 6.- SAMPLING
6.1. Introduction to sampling.
6.2. Main techniques for selecting samples.
6.3. Applications. Main surveys.
UNIT 7.- STATISTICS AND THE COMPUTER MEDIUM.
7.1. Computer packages with applications in Statistics.
7.2. Statistical data base (IGE, INE, Eurostat, AIMC,…)
BÁSIC:
JAUSET, J. (2000) La investigación de audiencias en televisión. Fundamentos estadísticos.
Edil. Paid os
MARTIN-GUZMAN, P., MARTIN-PLIEGO, F.J. (1987) Curso básico de Estadística Económica. Edit. Ariel
PULIDO SAN ROMAN, A. (1984) Estadística y técnicas de Investigación Social. Ediciones Pirámide S.A.
RIOBOO, J.M., DEL ORO, C.P. (2000) Representaciones gráficas de datos estadísticos. Edit. AC, Madrid.
COMPLEMENTARY:
FERNÁNDEZ CUESTA, C. FUENTES GARCÍA, F. (1995) Curso de Estadística Descriptiva. Teoría y práctica. Edit. Ariel, Barcelona
GARCIA BARBANCHO, A. (1992) Estadística Elemental Moderna. Edit. Ariel, Barcelona
MANZANO, V.G., ROJAS, A.J., FERNÁNDEZ, J.S. (1996) Manual para encuestadores. Edit. Ariel, S.A. Barcelona
PARRA, I. (2001). Estadística empresarial con Microsoft Excel: Fórmulas, tablas y funciones. Editorial AC, Madrid.
PÉREZ, C. (2002) Estadística aplicada a través de Excel. Pearson Educación, Madrid.
PEREZ, R. et al.(1992) Análisis de Datos Económicos I: Métodos Descriptivos. Edit. Pirámide
PORTILLA, I. (2004) Estadística descriptiva para comunicadores. EUNSA, Navarra
SARRAMONA, J. Investigación y estadística aplicada a la educación. Madrid: Ceac, 1980
SIERRA, R. Técnicas de investigación social. Madrid: Paraninfo, 1994
TANUR, J.M. et al.(1992) La Estadística: Una guía a lo desconocido. Edit. Alianza Editorial.
BASIC:
CB2 - Students can apply their knowledge to their work or vocation in a professional way and have the skills that can be demonstrated through the elaboration and defense of arguments and problem solving within their area of study
CB3 - Students have the capacity to gather and interpret relevant data to make judgments that include a reflection on relevant social, scientific or ethical issues
CB4 - Students can transmit information, ideas, problems and solutions to a specialized and non-specialized audience
CB5 - Students have developed the necessary learning skills to undertake later studies with a high degree of autonomy
GENERAL:
CG1 - Basic contextual competence of a transdisciplinary order
CG2 - Contextual competence to place journalism in the field of communication
CG3 - Competence to practice the profession with professional ethics and civic commitment
TRANSVERSE:
CT1 - Organizational and planning capacity
CT2 - Information management capacity
CT3 - Teamwork
CT4 - Autonomous Learning
CT5 - Creativity
CT6 - Initiative and Entrepreneurship
CT7 - Basic knowledge of the profession
SPECIFIC:
CE23 - Understand the economic and political context in which communication is developed today
CE24 - Train for the understanding of reports and statistical data for their interpretation in the media.
CE25 - Acquire the necessary knowledge to understand the dimension of mass communication.
The subject consists of a total of 6 credits without face-to-face teaching because it is in extinction. The contents will be exclusively those developed in the last year with active teaching.
The subject will have a virtual classroom on the USC platform that will be used for communication with the student body, if necessary, which will include the classroom presentations of the last year with active teaching.
The tutoring of the subject for its preparation will be carried out in the schedule established by the teaching staff. It is aimed at orientation for the preparation of the contents, selection of bibliographic material and statistical sources, review of practical cases or doubts of the student. It can be done in person or online using the institutional email, the virtual classroom or the USC virtual platform (Teams).
The evaluation of the subject will consist of an individual final test that will represent 100% of the maximum possible qualification.
The final tests will be carried out, in the two exam opportunities, in person on the dates established by the Center.
According to the regulations on Permanence in force at the USC for Graduate and Master's studies (art. 5.2), attendance and/or participation in the tests will mean that the final grade of the student is different from Not Presented.
In cases of fraudulent completion of exercises or tests, the provisions of the "Normativa de avaliación do rendemento académico dos estudantes e de revisión de cualificacións" will apply.
As it is a subject without active teaching, the autonomous and tutored work of the student body covers the 150 hours that the student must distribute in the individual study of the contents, the reading of materials and the press, the realization of practical examples of cases and the obtaining conclusions.
The mathematical language is necessary for the development of the subject since this language is the one in which Statistics is expressed.
The student has to acquire the necessary tools for the precise interpretation of the statistical results obtained or collected in other sources. It is convenient that the students consult all the doubts that they have taking into account the role that the interpretation and the use of the statistical results plays in their future professional performance.
Mathematical expressions do not have to be memorized by the student body, they are provided at the time of use to focus on the analysis and interpretation of the results collected in the media.
Carlos Pio Del Oro Saez
- Department
- Quantitative Economy
- Area
- Quantitative Economics (USC-specific)
- carlospio.deloro [at] usc.es
- Category
- Professor: University Lecturer
| 01.19.2024 10:00-14:00 | Grupo de examen | Classroom 3 |
| 06.10.2024 10:00-14:00 | Grupo de examen | Classroom 6 |