Applied Statistics

Code:

MEAM1101

Acronym:

MEAM1101

Keywords
Classification	Keyword
OFICIAL	Applied Mathematics

Instance: 2005/2006 - 1T

Active?	Yes
Course/CS Responsible:	Master in Applied Statistics and Modelling

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
EEAM	3	Plano oficial a partir de 2005	1	2	6	-
MEAM	3	Oficial 2000	1	2	6	-

Teaching language

Portuguese

Objectives

1) Give to the students the knowledge of statistical techniques that can extract the most important from multivariate data bases. The access to big data bases which contain important information is nowadays easy and cheap. The data analysis techniques have an important role in the transformation of these data in useful knowledge to make decisions.
2) Give same knowledge about sampling theory.

Program

1) Statistic as Science
2) Data Analysis
2.1) Types of data
2.2) Data organization
2.3) Summarizing univariate and bivariate data
2.4) Outliers and missing values
3) Multivariate Data Analysis
3.1) Factorial Methods
3.1.1) Principal Component Analysis
3.1.2) Simple Correspondence Analysis
3.1.3) Multiple Correspondence Analysis
3.2) Cluster Analysis
3.2.1) Non Hierarchical Classification
3.2.2) Hierarchical Classification
3.2.3) Discriminant Analysis
4) Sampling Techniques
4.1) Sampling empiric methods
4.2) Sampling probabilistic methods

Mandatory literature

Saporta, Gilbert; Probabilités analyse des données et statistique. ISBN: 2-7108-0565-0
Maroco, João; Análise estatística. ISBN: 972-618-298-0

Complementary Bibliography

Diday, Edwin 070; Éléments d.analyse de données. ISBN: 2-04-015430-2

Teaching methods and learning activities

Expository classes, with the presentation of the studied concepts and methods, using the geometrical interpretation and also examples. Big appeal to the motivation of the methods and comprehension of the concepts. During the classes, students are informed about the capacities and restrictions of the software available on this field.

Evaluation Type

Distributed evaluation with final exam

Calculation formula of final grade

Practical Work (PW) - 5 values
Final Examination (FE) - 15 values
Final Classification (FC) = PW + FE

Classification improvement

As in Master course rules.