Checking date: 11/04/2019

Course: 2019/2020

Statistics II
(13239)
Study: Bachelor in Political Science (205)

Coordinating teacher: JIMENEZ RECAREDO, RAUL JOSE

Department assigned to the subject: Department of Statistics

Type: Electives
ECTS Credits: 6.0 ECTS

Course:
Semester:

Branch of knowledge: Social Sciences and Law

Students are expected to have completed
Statistics (13215)
Competences and skills that will be acquired and learning results. Further information on this link
Specific competences: 1. Understand the different approaches to statistical sampling. 2. Be able to define populations that will be studied statistically. 3. Understand how to identify and model the characteristics of a time series. 4. Use of statistical software. Transversal competences: 1. Capacity of analysis and synthesis 2. Understanding of computing 3. Problem solving 4. Teamwork 5. Critical reasoning 6. Verbal and written communication
Description of contents: programme
1. INTRODUCTION: a) Time series related to politics: inflation, unemployment, IPC. b) Sampling: how to study public opinion. 2. SUMMARY OF THE BASIC CONCEPTS OF PROBABILITY AND STATISTICS 3. TIME SERIES. a) Introduction. Time series and time series graphs. b) Decompostion of a time series: i) trend, ii) seasonal variation, iii) cyclical variation, iv) residual variation. c) Application. d) Index numbers and the IPC. 4. SAMPLING. a) Sample and population. b) Types of sample: i) Simple random sampling. ii) Systematic sampling. iii) Stratified sampling. iv) Cluster sampling. v) Multistage sampling.
Learning activities and methodology
Theory (4ECTS). Lectures on the blackboard or based on slides and material available on the web Exercises (2ECTS) Sessions of problem solving. Use of computing resources. Debates. Working in team
Assessment System
• % end-of-term-examination 40
• % of continuous assessment (assigments, laboratory, practicals...) 60
Basic Bibliography
• Lawrence, K., Klimberg, R. and Lawrence, S.. Fundamentals of Forecasting Using Excel. Industrial Press.
• Scheaffer, Richard L. et al. Elementary Survey Sampling. Duxbury. 2006

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