Educational guide
IDENTIFYING DATA 2023_24
Subject STATISTICS Code 00415006
Study programme
0415 - GRADO EN INFORMACIÓN Y DOCUMENTACIÓN
Descriptors Credit. Type Year Period
6 Basic Training First Second
Language
Castellano
Prerequisites
Department ECONOMIA Y ESTADISTICA
Coordinador
GARCÍA GALLEGO , ANA BELÉN
E-mail abgarg@unileon.es
edelm@unileon.es
Lecturers
GARCÍA GALLEGO , ANA BELÉN
DELGADO MARQUEZ , ELVIRA
Web http://
General description This course aims to provide to future graduates the ability and tools to perform statistical analysis. Univariate and bivariate descriptive statistics, inferential statistics, general principles of statistical sampling techniques and its applications.
Tribunales de Revisión
Tribunal titular
Cargo Departamento Profesor
Presidente ECONOMIA Y ESTADISTICA ALVAREZ ESTEBAN , RAMON
Secretario ECONOMIA Y ESTADISTICA ABAD GONZáLEZ , JULIO IGNACIO
Vocal ECONOMIA Y ESTADISTICA BLANCO ALONSO , PILAR
Tribunal suplente
Cargo Departamento Profesor
Presidente ECONOMIA Y ESTADISTICA HUERGA CASTRO , MARIA DEL CARMEN
Secretario ECONOMIA Y ESTADISTICA VALLEJO PASCUAL , MARIA EVA
Vocal ECONOMIA Y ESTADISTICA RODRIGUEZ FERNANDEZ , MARIA DEL PILAR

Competencias
Code  
A2140
A2187
A2196
A2204
A2229
A2231
A2238
B232
B233
B247
B248
B250
B255
C2 CMECES2 That students know how to apply their knowledge to their work or vocation in a professional manner and possess the skills that are usually demonstrated through the development and defense of arguments and the resolution of problems within their area of study.
C3 CMECES3 That students have the ability to gather and interpret relevant data (normally within their area of study) to make judgments that include reflection on relevant issues of a social, scientific or ethical nature.

Learning aims
Competences
A2140
A2187
A2196
A2204
A2229
A2231
A2238
B232
B233
B247
B248
B250
B255
C2
C3
A2187
A2196
A2204
A2229
A2231
A2238
B232
B233
B247
B248
B250
B255
C2
C3

Contents
Topic Sub-topic

Planning
Methodologies  ::  Tests
  Class hours Hours outside the classroom Total hours
Lecture 0 0 0
 
20 20 40
7 10 17
Personal tuition 3 0 3
 
0 70 70
 
Mixed tests 2 8 10
Practical tests 0 5 5
Objective multiple-choice tests 2 3 5
 
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies   ::  
  Description
Lecture
Personal tuition

Personalized attention
 
Personal tuition
Description

Assessment
  Description Qualification
Mixed tests 50%
Practical tests 25%
Objective multiple-choice tests 25%
 
Other comments and second call

Sources of information
Access to Recommended Bibliography in the Catalog ULE

Basic

Complementary


Recommendations


Subjects that it is recommended to have taken before
BASIC INFORMATION TECHNOLOGIES / 00415005