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
Use languages Spanish, Galician
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 aim is to provide the students with the knowledge and use of basic statistical techniques for descriptive analysis of data (analysis and descritive resume of data, sampling, time data series, index numbers, variation measures,...), treatment of this information in the media and the main statistical operations applied in communication.
Special attention will be paid to the practical applications of Statistics in the media.
-Presentation of data and use of statistical language in mass 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
CHAPTER 1. INTRODUCTION.
1.1.Motivation
1.2.Statistics terms
CHAPTER 2. UNIVARIATE SERIES ANALYSIS
2.1. Dispalying statistical data.
2.2. Graphs.
2.3. Measures of central tendency
2.4. Measures of dispersion
2.5. Shape and concentration measures.
CHAPTER 3. MULTIVARIATE ANALYSIS
3.1. Two-dimensional distributions. Tabulation.
3.2. Graphical representations.
3.3. Relations betweeen characteristics. Statistical independence.
3.4. Correlation and association.
CHAPTER 4. INDEX NUMBERS
4.1. Main variation rates.
4.2. Simple and compound indexes.
4.3. Change of base.
4.4. Indexes of prices, quantities and value.
4.5. Deflation.
4.6. Consumer Prices Index. Other index.
CHAPTER 5. TIME SERIES
5.1. Descriptive modeling of temporal series.
5.2. Time series components.
CHAPTER 6.- SAMPLING
6.1. Introduction to sampling.
6.2. Main sampling techniques
6.3. Applications. Main surveys.
CHAPTER 7.- STATISTICS AND SOFTWARE
7.1. Computer packages with applications in Statistics.
7.2. Statistical database (IGE, INE, Eurostat, Anuario MC,…)
BASIC
JAUSET, J. (2007). Estadística para periodistas, publicitarios y comunicadores : aplicaciones de los porcentajes y diseño e interpretación de encuestas : 110 ejercicios y cuestiones prácticas Editorial UOC.
PEÑA, D., ROMO, J. (2003). Introducción a a la estadística para las ciencias sociales. Ed. McGraw Hill.
PÉREZ, C. (2002) Estadística aplicada a través de Excel. Pearson Educación, Madrid.
PORTILLA, I. (2004) Estadística descriptiva para comunicadores: aplicaciones a la publicidad y las relaciones públicas. EUNSA, Navarra
COMPLEMENTARY
FERNÁNDEZ CUESTA, C. FUENTES GARCÍA, F. (1995) Curso de Estadística Descriptiva. Teoría y práctica. Edit. Ariel, Barcelona
GONICK, L., SMITH, G. (2001). A estatística ¿en caricaturas!. SGPEIO.
JAUSET, J. (2000). La investigación de audiencias en televisión. Fundamentos estadísticos. Edit. Paidós
MARTIN-GUZMAN, P., MARTIN-PLIEGO, F.J. (1987) Curso básico de Estadística Económica. Edit. Ariel
NEWBOLD, P. (2001) Estadística para los Negocios y la Economía, Editorial Prentice--Hall, Madrid.
PEÑA, D., ROMO, J. (1997) Introducción a la Estadística para las Ciencias Sociales, Editorial McGraw--Hill, Madrid.
PÉREZ, C. (2002) Estadística aplicada a través de Excel. Pearson Educación, Madrid.
PULIDO SAN ROMAN, A. (1984) Estadística y técnicas de Investigación Social. Ediciones Pirámide S.A.
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.
WIMMER, R., DOMINICK, J. (1996). La Investigación científica de los medios de comunicación : una introducción a sus métodos. Ed. Bosch. Barcelona.
WIMMER, R., DOMINICK, J. (2001). Introducción a la investigación en medios masivos de comunicación. International Thomson Editores 2001.
GENERAL:
-Formation in Social Sciences, Humanities, and Science and Technology to provide a basic contextual competence of transdisciplinary order.
-Practical work and professional experimentation and innovation, along with a methodological introduction and analysis applied to research in communication.
- Know how to apply the knowledge to work in a professional way and possess the competences that are usually demonstrated through the elaboration and defense of arguments and the resolution of problems within the area of study
- Have the ability to gather and interpret relevant data to issue judgments that include a reflection on relevant social, scientific or ethical issues
- Transmit information, ideas, problems and solutions to a specialized and non-specialized audience
- Develop those learning skills necessary to undertake further studies with a high degree of autonomy
- Basic contextual competence of transdisciplinary order
- Contextual competence to place audiovisual communication in the information society
- Competition to practice the profession with professional ethics and civic engagement
TRANSVERSALS:
- Organization and planning capacity
- Ability to manage information
- Teamwork
- Autonomous learning
- Creativity
- Initiative and entrepreneurial spirit
- Basic knowledge of the profession
SPECIFIC:
Specialist in research and analysis of current and prospective communication and communication processes and phenomena, trained for the tasks of mediation, counseling, consulting and measurement
- Capacity for the professional competencies of a distributor and exhibitor of audiovisual works
- Acquire the necessary training for the interpretation of statistical reports
- Train for the management of companies related to the audiovisual sector
- Know the techniques for the professional development of the programming of audiovisual products
This subject does not have assigned teaching, so all the consultations about the contents can be solved during the established tutoring schedule.
The final exam will be graded with a maximum of 10 points and will take place in person on the dates established by the Faculty
This subject has 6 ECTs
Mathematical language is necessary to develop the subject. The students must acquire the necessary tools for the precise interpretation of the information.
Maria Luisa Chas Amil
- Department
- Quantitative Economy
- Area
- Quantitative Economics (USC-specific)
- Phone
- 881811549
- marisa.chas [at] usc.es
- Category
- Professor: University Lecturer
| 12.21.2022 10:00-14:00 | Grupo de examen | Classroom 6 |
| 06.15.2023 10:00-14:00 | Grupo de examen | Classroom 7 |