Estatística para Ciências Sociais

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

Lecturer
- Ana Cristina Becerra Nata dos Santos

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

Objectives
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.

Program
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).

Bibliography
- 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.