Guías Docentes Electrónicas
1. General information
Course:
STATISTICS FOR ECONOMICS
Code:
53306
Type:
BASIC
ECTS credits:
6
Degree:
316 - UNDERGRADUATE DEGREE IN ECONOMICS
Academic year:
2020-21
Center:
5 - FACULTY OF ECONOMICS AND BUSINESS
Group(s):
10  17 
Year:
1
Duration:
C2
Main language:
Spanish
Second language:
English
Use of additional languages:
English Friendly:
N
Web site:
Bilingual:
N
Lecturer: MARIA LETICIA MESEGUER SANTAMARIA - Group(s): 10  17 
Building/Office
Department
Phone number
Email
Office hours
Melchor de Macanaz/2.22
ECONOMÍA APLICADA I
926053533
mleticia.meseguer@uclm.es

2. Pre-Requisites
Not established
3. Justification in the curriculum, relation to other subjects and to the profession
Not established
4. Degree competences achieved in this course
Course competences
Code Description
E03 Ability to find economic data and select relevant facts.
E06 Application of profesional criteria to the analysis of problems, based on the use of technical tools.
E16 Identify relevant sources of financial information and its content, as well as the ability to derive the important information from the data, otherwise completely unknown to non-professionals.
G01 Possession of the skills needed for continuous, self-led, independent learning, which will allow students to develop the learning abilities needed to undertake further study with a high degree of independence.
G03 Develop oral and written communication skills in order to prepare reports, research projects and business projects and defend them before any commission or group of professionals (specialised or non-specialised) in more than one language, by collecting relevant evidence and interpreting it appropriately so as to reach conclusions.
G04 Ability for the use and development of information and communication technology in the development of professional activity.
G05 Capacity for teamwork, to lead, direct, plan and supervise multidisciplinary and multicultural teams in both national and international environments.
5. Objectives or Learning Outcomes
Course learning outcomes
Description
Enable student for autonomous work and learning, as well as for personal initiative
Train the student to search for information in order to analyze it, interpret is meaning, synthesize it and communicate it to others.
Train the student to work out problems in creative and innovative ways.
Enable students to know the sources of official statistics and their treatment for the analysis of economic reality
To know the tools and methods for quantitative analysis of markets, sectors and companies, including models for decision-making and economic forecasting models.
Additional outcomes
Description
6. Units / Contents
  • Unit 1:
    • Unit 1.1:
    • Unit 1.2:
    • Unit 1.3:
  • Unit 2:
    • Unit 2.1:
    • Unit 2.2:
  • Unit 3:
  • Unit 4:
    • Unit 4.1:
    • Unit 4.2:
    • Unit 4.3:
  • Unit 5:
    • Unit 5.1:
    • Unit 5.2:
    • Unit 5.3:
7. Activities, Units/Modules and Methodology
Training Activity Methodology Related Competences (only degrees before RD 822/2021) ECTS Hours As Com Description
Class Attendance (theory) [ON-SITE] Lectures E03 E06 E16 G01 G03 G04 G05 1.33 33.25 N N
Class Attendance (practical) [ON-SITE] Combination of methods E03 E06 E16 G01 G03 G04 0.75 18.75 N N
Study and Exam Preparation [OFF-SITE] Self-study E03 E06 E16 G01 G03 G04 G05 2.4 60 N N
Other off-site activity [OFF-SITE] Problem solving and exercises E03 E06 E16 G01 G03 G04 G05 1.2 30 Y N
Other on-site activities [ON-SITE] Workshops and Seminars E03 E06 E16 G01 G03 G04 G05 0.16 4 N N
Final test [ON-SITE] Assessment tests E03 E06 E16 G01 G03 G04 G05 0.16 4 Y Y
Total: 6 150
Total credits of in-class work: 2.4 Total class time hours: 60
Total credits of out of class work: 3.6 Total hours of out of class work: 90

As: Assessable training activity
Com: Training activity of compulsory overcoming (It will be essential to overcome both continuous and non-continuous assessment).

8. Evaluation criteria and Grading System
Evaluation System Continuous assessment Non-continuous evaluation * Description
Other methods of assessment 30.00% 0.00%
Final test 70.00% 100.00%
Total: 100.00% 100.00%  
According to art. 4 of the UCLM Student Evaluation Regulations, it must be provided to students who cannot regularly attend face-to-face training activities the passing of the subject, having the right (art. 12.2) to be globally graded, in 2 annual calls per subject , an ordinary and an extraordinary one (evaluating 100% of the competences).

Evaluation criteria for the final exam:
  • Continuous assessment:
    Evaluation criteria not defined
  • Non-continuous evaluation:
    Evaluation criteria not defined

Specifications for the resit/retake exam:
Evaluation criteria not defined
Specifications for the second resit / retake exam:
Evaluation criteria not defined
9. Assignments, course calendar and important dates
Not related to the syllabus/contents
Hours hours
Class Attendance (theory) [PRESENCIAL][Lectures] 3.25
Class Attendance (practical) [PRESENCIAL][Combination of methods] 3.75
Study and Exam Preparation [AUTÓNOMA][Self-study] 10
Other on-site activities [PRESENCIAL][Workshops and Seminars] 4
Final test [PRESENCIAL][Assessment tests] 4

Unit 1 (de 5):
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 7
Class Attendance (practical) [PRESENCIAL][Combination of methods] 3
Study and Exam Preparation [AUTÓNOMA][Self-study] 10
Other off-site activity [AUTÓNOMA][Problem solving and exercises] 6

Unit 2 (de 5):
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 5
Class Attendance (practical) [PRESENCIAL][Combination of methods] 3
Study and Exam Preparation [AUTÓNOMA][Self-study] 10
Other off-site activity [AUTÓNOMA][Problem solving and exercises] 4

Unit 3 (de 5):
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 2
Class Attendance (practical) [PRESENCIAL][Combination of methods] 1
Study and Exam Preparation [AUTÓNOMA][Self-study] 4
Other off-site activity [AUTÓNOMA][Problem solving and exercises] 1.5

Unit 4 (de 5):
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 8
Class Attendance (practical) [PRESENCIAL][Combination of methods] 4
Study and Exam Preparation [AUTÓNOMA][Self-study] 13
Other off-site activity [AUTÓNOMA][Problem solving and exercises] 9.5

Unit 5 (de 5):
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 8
Class Attendance (practical) [PRESENCIAL][Combination of methods] 4
Study and Exam Preparation [AUTÓNOMA][Self-study] 13
Other off-site activity [AUTÓNOMA][Problem solving and exercises] 9

Global activity
Activities hours
10. Bibliography and Sources
Author(s) Title Book/Journal Citv Publishing house ISBN Year Description Link Catálogo biblioteca
Canavos, George C. Probabilidad y estadística :aplicaciones y métodos McGraw-Hill 84-481-0038-7 2003 Ficha de la biblioteca
ESTEBAN, BACHERO Y OTROS Estadística Descriptiva y nociones de Probabilidad Thomson 84-9732-374-2 2005 Ficha de la biblioteca
LAVINE, M Introduction to Statistical Though 2006 http://www.stat.duke.edu/~michael/  
Levin, Richard I. Estadística para administración y economía Pearson Educación 978-970-26-0497-6 2004 Ficha de la biblioteca
Lind; Marchal y Wathen Estadística aplicada a los negocios y la economía McGraw-Hill 978-607-15-0742-6 2012 Ficha de la biblioteca
Martín Pliego, Francisco Javier Fundamentos de probabilidad Thomson 978-84-9732-500-4 2010 Ficha de la biblioteca
Martín Pliego, Francisco Javier Problemas de probabilidad Thomson-Paraninfo 84-9732-501-X 2009 Ficha de la biblioteca
Martín-Pliego López, Fco. Javier Introducción a la estadística económica y empresarial : teor Thomson 978-84-9732-316-1 2009 Ficha de la biblioteca
Montero Lorenzo, José María Problemas resueltos de estadística descriptiva para ciencias Thomson 978-84-9732-659-9 2007 Ficha de la biblioteca
Montero Lorenzo, José María Estadística descriptiva Thomson 978-84-9732-514-1 2007 Ficha de la biblioteca
Montero Lorenzo, José María Estadística para relaciones laborales Thomson 84-7288-167-9 2005 Ficha de la biblioteca
Newbold, Paul Estadística para administración y economía Pearson Prentice Hall 978-84-8322-403-8 2007 Ficha de la biblioteca
Peña, Daniel Introducción a la Estadística para las Ciencias Sociales McGraw-Hill/Interamericana de España 84-481-1617-8 2003 Ficha de la biblioteca
Pérez Suárez, R. ANÁLISIS de datos económicos I : métodos descriptivos Pirámide 8436807278 1993 Ficha de la biblioteca
Pérez Suárez, R. Análisis de datos económicos II: métodos inferenciales Pirámide 1997  
Rohatgi, Vijay K. An introduction to probability theory and statistics John Wiley 978-0-471-34846-7 2001 Ficha de la biblioteca
Vélez, Ramos y otros Métodos estadísticos en ciencias sociales Ediciones Académicas 978-84-96062-82-5 2006 Ficha de la biblioteca



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