Subject: Statistics for Social Sciences

Scientific Area:



80 Hours

Number of ECTS:

7,5 ECTS



Overall objectives:

1 - O1 - Be able to use the knowledge acquired in this UC to display the relevant information contained in a collection of statistical data, i.e., use the appropriate techniques for presentation of summary statistics and construction of graphs.
2 - O2 - Develop the ability to interpret statistical information in the day-to-day, whether of general type, present in the media or specific of the respective area.
3 - O3 - Solve problems of statistical inference, either through confidence intervals or through hypothesis testing.


1 - Descriptive Statistics
2 - Some Concepts of Probability Theory
3 - Statistical Models
4 - Statistical Inference
5 - Hypothesis Testing
6 - Non-Parametric Statistics


Daniel, W. , 1995 , Biostatistics: A Foundation for Analysis in the Health Sciences , John Wiley & Sons
Zar, J.H. , 1999 , Biostatistical Analysis , Prentice Hall International Editions
Pestana, D. D., Velosa, S. F. , 2010 , Introdução à Probabilidade e à Estatística , Fundação Calouste Gulbenkian
Everitt, B.S. , 2019 , The analysis of contingency tables , Wiley, New York
Galvão de Mello, F. , 2000 , Probabilidades e Estatística, Conceitos e Métodos Fundamentais , Escolar Editora
Moore, D.S., McCabe, G.P. , 2007 , Introduction to the Practice of Statistics , Freeman, W.H. and Company, New York
Reis, E., Melo, P., Andrade, R. e Calapez, T. , 1997 , Estatística Aplicada , Edições Sílabo

Assesssment methods and criteria:

Classification Type: Quantitativa (0-20)

Evaluation Methodology:
M1 - The lectures are mostly expository (using the computer and the projector) although students may intervene to post their questions. M2 - The theoretical/practical classes are designed for students to solve the proposed exercises. However, as far as possible, taking into account the number of students, there is an individual supervision followed by a general explanation. M3 - The evaluation in this UC is constituted by two tests, each one with a weight of 50%. In case of failure, there is an exam, which allows the recovery of the evaluation of one or two tests.