| Code |
13639
|
| Year |
1
|
| Semester |
S2
|
| ECTS Credits |
6
|
| Workload |
TP(60H)
|
| Scientific area |
Mathematics
|
|
Entry requirements |
Integral and Differential Calculus.
|
|
Mode of delivery |
Face to face.
|
|
Work placements |
Not applicable.
|
|
Learning outcomes |
Identify and apply, in problems of sciences and technologies, strategies of Probability and Statistical Inference.
At the end of this UC the students should be able to choose and apply statistical techniques to real problems in the biological and health sciences.
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|
Syllabus |
1. Introduction to Probability Theory: Independence and conditioning; Distributions Binomial, Geometric, Poisson, Normal; Moments and the Central Limit Theorem. 2. Introduction to Statistical Inference: estimation by the method of moments; properties of estimators; confidence intervals; tests of hypotheses.
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Main Bibliography |
Probabilidades e Estatística para Ciências e Tecnologia.(2016) Esmeralda Gonçalves, Ana Cristina Rosa e Maria Emília Nogueira. Editora Almedina.
Introdução Computacional à Probabilidade e Estatística, Pedrosa, A. e Gama, S. (2007) Porto Editora.
Introdução à Probabilidade e Estatística, Vol.1, Pestana D. e Velosa S., 2006, Fundação Caloust Gulbenkian.
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Language |
Portuguese. Tutorial support is available in English.
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