Educational guide
IDENTIFYING DATA 2024_25
Subject STATISTICS I Code 00511003
Study programme
0511 - G.MARKETING E INVESTIGACIÓN DE MERCADOS
Descriptors Credit. Type Year Period
6 Basic Training First Second
Language
Castellano
Prerequisites
Department ECONOMIA Y ESTADISTICA
Coordinador
SOMARRIBA ARECHAVALA , MARIA NOELIA
E-mail msoma@unileon.es
mevalp@unileon.es
Lecturers
VALLEJO PASCUAL , MARÍA EVA
SOMARRIBA ARECHAVALA , MARIA NOELIA
Web http://
General description Descriptive statistics: univariate and bivariate analysis. Index numbers and classical time series analysis. Probability and random variables.
Tribunales de Revisión
Tribunal titular
Cargo Departamento Profesor
Presidente ECONOMIA Y ESTADISTICA ABAD GONZáLEZ , JULIO IGNACIO
Secretario ECONOMIA Y ESTADISTICA DELGADO MARQUEZ , ELVIRA
Vocal ECONOMIA Y ESTADISTICA BLANCO ALONSO , PILAR
Tribunal suplente
Cargo Departamento Profesor
Presidente ECONOMIA Y ESTADISTICA ALVAREZ ESTEBAN , RAMON
Secretario ECONOMIA Y ESTADISTICA RODRIGUEZ FERNANDEZ , MARIA DEL PILAR
Vocal ECONOMIA Y ESTADISTICA GARCIA GALLEGO , ANA BELEN

Competencias
Code  
A16272
A16274
B5093
B5108
B5110
C1 CMECES1 That students have demonstrated possession and understanding of knowledge in an area of study that is based on general secondary education, and is usually found at a level that, although supported by advanced textbooks, also includes some aspects that involve knowledge from the cutting edge of their field 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
B5108
C1
C3
B5093
B5110
C3
A16274
B5110
C3
A16272
A16274
B5110
C3
A16272
A16274
B5108
C3
A16272
A16274
C3
A16272
A16274
C3
B5108
C1
C3
B5108
C1
C3

Contents
Topic Sub-topic

Planning
Methodologies  ::  Tests
  Class hours Hours outside the classroom Total hours
40 40 80
 
10 30 40
0 20 20
 
Lecture 0 0 0
 
Mixed tests 5 0 5
Objective multiple-choice tests 5 0 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

Personalized attention
 
Description

Assessment
  Description Qualification
Mixed tests 70 %
Objective multiple-choice tests 15 %
 
Other comments and second call

Sources of information
Access to Recommended Bibliography in the Catalog ULE

Basic

Complementary


Recommendations