Probabilidades e Estatística

4 ECTS; 1º Ano, 2º Semestre, 45,0 TP

- José Manuel Borges Henriques Faria Paixão
- Maria João da Costa Antunes Inácio

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 hypothesis testing.
5. Simple linear regression.

Evaluation Methodology
Final written test (classification from 0 to 20) of all syllabus contents. Approval: at least 10 (out of 20).

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

Method of interaction
Theoretical-practical lectures where beyond the theoretical exposition of the syllabus, practical applications of the topics presented are developed. Particular emphasis is placed on the analysis of economic data and management problems.

Software used in class