INTRODUCTION TO APPLIED STATISTICS
Code: 21068
ECTS: 6
Departament: Department of Sciences and Technology
Field of Study: Mathematics
Keywords:
    Descriptive Statistics
    Indexes
    Simple Correlation and Chronological sequences
    Combinatorics and probability
Teacher:
Amílcar Oliveira
Área Científica: Mathematics (Branch: Statistic Modeling).
E-mail: aoliveira@uab.pt

Course Description:
Taking into account the modern demands for data analysis in all professional and scientifica activities, it is necessary to provide the students with the tools that allow them to calculate the most used statistical measures and indexes, 2-variable correlation, and chronologic sequences. Finally we introduce combinatorics probability theory and random variables.


Competences:
By the end of the course the student should know how to organize statistical data, evaluate and interpret indexes, calculate the linear regression equation, decompose one chronological sequence, and perform basic evaluations of probability.


Contents:
1. Graphs
2. Measure of location and spread (mean, median, standard deviation, Gini coefficient, Lorenz Curve, etc).
4. Lspeyres and Paaches indexes.
5. Linear correlation.
6. Combinatorics and probability. Random Variables. Discrete Variables.


Bibliography:
Mandatory Reading:
Reis, Elizabeth (2008). Estatística Descritiva, Edições Sílabo (7ª Edição), p.248:  ISBN:9789726184768

Complementary:
Sílvio Filipe Velosa, Dinis Duarte Pestana (2008). Introdução à Probabilidade e à Estatística Fundação Calouste Gulbenkian, (4ª Edição), p. 1164: ISBN: 9789723111507


Format:
E-learning


Workload (hours): 156
Contact Hours: 26

Assessment:
Continuous assessment is privileged: 2 or 3 digital written documents (e-folios) during the semester (40%) and a presence-based final exam (p-folio) in the end of the semester (60%). In due time, students can alternatively choose to perform one final presence-based exam (100%).


Language(s) of Instruction: Portuguese.

Contact for virtual mobility students: Communication and International Relations Office – gcri@uab.pt