Estatística para Ciências Sociais

Gestão e Administração de Serviços de Saúde
5 ECTS; 2º Ano, 1º Semestre, 30,0 T + 30,0 PL

- Ana Cristina Becerra Nata dos Santos

It is recommended knowledge about set theory, combinatorial analysis, differential and integral calculus.

1. Understand and be able to use the main concepts of:
1.1. Descriptive statistics.
1.2. Probability theory and probability distributions.
1.3. Estimation and hypothesis testing.
1.4. Simples linear regression.
2. Proceed to data analysis, interpret the results and carry out a decision.

1. Descriptive statistics.
2. Probability theory.
3. Random variables and probability distributions.
4. Estimation and parametric hypothesis tests.
5. Simple linear regression.

Evaluation Methodology
Continuous assessment: two written tests without consultation (50% each and minimum score of 6 val. in each).
Examination assessment: written test without consult and including all syllabus contents. Approval: at least 10 (out of 20).

- Siegel, A. (1988). Statistics and Data Analysis: An Introduction. New York : Wiley International Edition
- Pedrosa, A. e Gama, S. (2016). Introdução Computacional à Probabilidade e Estatística, com Excel. Lisboa: Porto Editora
- Robalo, A. (2004). Estatística: Exercícios, Vol II (Distribuições. Inferência Estatística). Lisboa: Edições Sílabo
- Robalo, A. (1998). Estatística: Exercícios, Vol I (Probabilidades. Variáveis aleatórias). Lisboa: Edições Sílabo

Method of interaction
Lectures and practical classes.

Software used in class
Not applicable.