Basic discipline of Probability and Statistics, where the fundamentals of these twoscientific areasare taught.
It is objective of this subject to teach the basics about probability theory, namely about probability, conditional probability, independence, random variables - their distribution, moments and some other characteristics - and the central limit theorem.
Learn the fundamentals about statistics, as the notion of population, sample and random sample, estimators, their sample distributions and some other properties, point estimation, estimation by confidence interval, hypotheses testing and simple linear regression.
1. Basic notions of probability.
2. Random variables and their probability distribution.
3. Moments of random variables.
4. Some important distributions.
5. Random vectors.
6. Central Limit Theorem.
7. Pointestimation.
8.Interval estimation.
9. Hypothesis testing.
10. Simple linear regression.
Guimarães e Cabral (1997). Estatística. McGraw-Hill.
Montgomery e Runger (2002). Applied Statistics and Probability for Engineers. Wiley.
Mood, Graybill e Boes (1974). Introduction to the Theory of Statistics. McGraw-Hill.
Murteira, B., Ribeiro, C., Silva, J. e Pimenta, C. (2007). Introdução à Estatística, 2ª edição. McGraw-Hill
Paulino e Branco (2005). Exercícios de Probabilidade e Estatística. Escolar Editora.
Pestana, D. e Velosa, S. (2002). Introdução à Probabilidade e à Estatística. Fundação Calouste Gulbenkian, Lisboa.
Rohatgi (1976). An Introduction to Probability Theory and Mathematical Statistics. Wiley.
Sokal e Rohlf (1995). Biometry. Freeman.
Tiago de Oliveira (1990). Probabilidades e Estatística: Conceitos, Métodos e Aplicações, vol. I, II. McGraw-Hill.
Basics of mathematical analysis, pointing out some topological notions, primitives, integrals and functions of more than one variable.
Hours per credit | 28 | ||
Hours per week | Weeks | Hours | |
Aulas teórico-práticas | 56.0 | ||
Avaliação | 4.0 | ||
Self study | 90.0 | ||
Others | 15.0 | ||
Total hours | 165 | ||
ECTS | 6.0 |