Educational guide
IDENTIFYING DATA 2023_24
Subject MATHEMATICAL STATISTICS Code 01739028
Study programme
Descriptors Credit. Type Year Period
6 Compulsory CA
Language
Castellano
Prerequisites
Department
Coordinador
E-mail
Lecturers
Web http://
General description Probability models. Sampling and inferential statistics. Parametric estimation and hypothesis testing. Non-parametric tests.
Tribunales de RevisiĆ³n
Tribunal titular
Cargo Departamento Profesor
Tribunal suplente
Cargo Departamento Profesor

Competencies
Type A Code Competences Specific
Type B Code Competences Transversal
Type C Code Competences Nuclear

Learning aims
Competences

Contents
Topic Sub-topic

Planning
Methodologies  ::  Tests
  Class hours Hours outside the classroom Total hours
Problem solving, classroom exercises 22 25 47
 
Practicals using information and communication technologies (ICTs) in computer rooms 10 0 10
Tutorship of group 5 5 10
Personal tuition 0 0 0
 
Lecture 22 25 47
 
Mixed tests 4.5 15 19.5
1.5 15 16.5
 
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies   ::  
  Description
Problem solving, classroom exercises
Practicals using information and communication technologies (ICTs) in computer rooms
Tutorship of group
Personal tuition
Lecture

Personalized attention
 
Tutorship of group
Personal tuition
Description

Assessment
  Description Qualification
Problem solving, classroom exercises 15%
25%
Mixed tests 60%
 
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
STATISTICS I / 00510007