6.0
ECTS / Credit Units
 Year: 1 / 2º Semestre Plan: 2015/16 Scientific Area: MAT Level: L1

 Theorical: 32.00 Theorical-Pratical: 48.00 Pratical and Laboratorial: Fieldwork: Seminar: Internship: Tutorial:
 Assigned Internship Hours: Assigned Projects Hours: Assigned Fieldwork Hours: Assigned Study Hours: Assigned Evaluation Hours: Others:

### Degree having this Course

Degree - Branch Degree Plan Year
Economia - Sem Ramos - Especialidades 2015/16

### Teaching Staff

Délia Canha Gouveia Reis

Responsibilities:
Regência
Responsável pelas Pautas
Ensino teórico
Ensino teórico-prático
Ivo Miguel Sousa Ferreira

Responsibilities:
Ensino teórico-prático

## Course Information

### Course Objectivs

1 Since it is a first graduate course of Probability and Statistics, the students are expected to acquire theoretical and practical knowledge of statistics and probability that will be useful in understanding technical issues in other curricular units of their degree and in their professional activity.

2 This curricular unit covers the application of simple statistical techniques to a range of problems in economics. Students will be able to use these statistical techniques to improve data analysis when they are determining descriptive indexes, confidence intervals, performing hypothesis tests to parameters of random variables, or applying regression models.

3 Students will develop skills in understanding data analysis and reporting results. This course is also intended to provide students with skills to apply and use statistical softwares (SPSS or R, for example) in statistical analysis.

### Evaluation Criteria

Classification Type: Quantitative (0-20)
Evaluation Methodology: Teaching Methodologies: Lectures. Solving exercises and problems with a statistical software or a calculator. Obtaining statistical analysis and interpreting the outputs. Evaluation: Two mandatory tests each weighting 50%.

### Main Bibliography

M. Barrow (2009). Statistics for Economics, Accouting and Business Studies. Prentice Hall.
F. Figueiredo, A. Figueiredo, A. Ramos, P. Teles (2009). Estatística Descritiva e Probabilidades - Problemas resolvidos e propostos com aplicações em R. Escolar Editora.
B. J. F. Murteira, M. Antunes (2012). Probabilidades e Estatística. Escolar Editora.
A. D. Aczel (2005). Statistics - Concepts and Applications. Irwin.
B. J. F. Murteira, C. S. Ribeiro, J. Andrade e Silva, C. Pimenta, F. Pimenta (2015). Introdução à Estatística. Escolar Editora.
M. F. Triola, L. A. Franklin (1994). Business Statistics - Understanding Populations and Processes. Addison- Wesley.
A. Afonso, C. Nunes (2011). Estatística e Probabilidades - Aplicações e Soluções em SPSS. Escolar Editora.
D. D. Pestana, S. F. Velosa (2008). Introdução à Probabilidade e à Estatística. Fundação Calouste Gulbenkian.
D. Waller (2008). Statistics for Business. Elsevier.
M. Barroso, E. Sampaio, M. Ramos (2010). Exercícios de Estatística Descritiva para as Ciências Sociais. Edições Sílabo.

### Student Support

Délia Reis

• 4ª Feira das 10h30 às 11h30 e das 16h00 às 17h30 no gabinete 2.88;

Ivo Ferreira

• 4ª Feira das 14h00 às 15h30 no gabinete 2.106.

Délia Reis

• 4ª Feira das 10h30 às 11h30 e das 16h00 às 17h30 no gabinete 2.88;

Ivo Ferreira

• 4ª Feira das 14h00 às 15h30 no gabinete 2.106.