Checking date: 04/06/2021


Course: 2021/2022

Statistics applied to journalism
(14363)
Study: Dual Bachelor in Journalism and Film, Television and Media Studies (231)


Coordinating teacher: LILLO RODRIGUEZ, ROSA ELVIRA

Department assigned to the subject: Department of Statistics

Type: Basic Core
ECTS Credits: 6.0 ECTS

Course:
Semester:

Branch of knowledge: Social Sciences and Law



Objectives
SPECIFICS OBJECTIVES: To gain knowledge and understanding in: 1. Learning to organize, synthesize and analyze univariate and bivariate data. 2. Understanding and interpretation of published statistical studies (samples, economic predictions, papers from INE, Eurostat, etc). 3. Carrying out simple statistical analyeses using software. TRANSVERSE OBJECTIVES: 1. Capacity of analysis and synthesis. 2. Knowing how to use statistical software. 3. Problem solving. 4. Teamwork. 5. Critical reasoning. 6. Verbal and written communication.
Skills and learning outcomes
Description of contents: programme
1. Introduction. 1.1. Concept and uses of statistics. 1.2. Statistical terminology: populations, subpopulations, individuals and samples. 1.3. Types of variable. 2. Analysis of univariate data. 2.1. Representations and graphs of qualitative data. 2.2. Representations and graphs of quantitative data. 2.3. Numerical summary. 3. Analysis of bivariate data. 3.1. Representations and graphs of qualitative and discrete data. 3.2. Representations and graphs of continuous data: correlation and regression. 4. Probability and probability models. 4.1. Random experiment, simple space, elementary and composite events. 4.2. Properties of probability. 4.3. Conditional probability and its properties. 4.4. Random variables and their characteristics. 4.5. Bernoulli trials and related distributions. 4.6. The normal distribution. 5. Introduction to statistical inference. 5.1. Ideas and objectives. 5.2. Point estimation. 5.3. Interval estimation. 5.4. Fundamental concepts of hypothesis tests. 5.5. Tests for the mean in normal populations. 5.6. Tests for proportions.
Learning activities and methodology
Theory (3 ECTS). Theory clases will be taught synchronously and interactively online through Blackboard collaborate with background materials available on the web. Practical (3 ECTS) Problem solving. Computer practicals using Excel. Verbal expositions and debates.
Assessment System
  • % end-of-term-examination 40
  • % of continuous assessment (assigments, laboratory, practicals...) 60
Calendar of Continuous assessment
Basic Bibliography
  • Remenyi, D.. An introduction to statistics using Microsoft Excel. Academic Publishing. 2010
  • Ross, S.M.. Introductory Statistics. Elsevier. 2005
Additional Bibliography
  • Jauset. J.A. . La investigación de audiencias en televisión - Fundamentos estadísticos. Editorial Paidós. 2000
  • Takahishi, S.. The Manga Guide to Statistics. Starch Press. 2009
  • Wimmer. R. y Dominick, J.. Mass media research: An introduction. International Thomson Editores. 2014

The course syllabus and the academic weekly planning may change due academic events or other reasons.


More information: http://www.est.uc3m.es/amalonso/esp/EAP2020.htm