| Code |
10240
|
| Year |
1
|
| Semester |
S2
|
| ECTS Credits |
6
|
| Workload |
T(30H)/TP(30H)
|
| Scientific area |
Mathematics
|
|
Entry requirements |
Integral and Differential Calculus.
|
|
Mode of delivery |
Face-to-face.
|
|
Work placements |
Not applicable.
|
|
Learning outcomes |
To identify and apply strategies of Probability and Statistical Inference in problems of biological and medical sciences and technologies.
To solve problems with the application of Statistics.
|
|
Syllabus |
1. Introduction to Probability Theory: Independence and conditioning; Binomial, Hypergeometric, Geometric, Poisson, Normal distributions; moments and the Central Limit Theorem.
2. Introduction to Statistical Inference: estimation by the method of moments; properties of estimators, confidence intervals; hypothesis testing.
|
|
Main Bibliography |
A- Introdução à Probabilidade e Estatística, Vol. I, Dinis Pestana e Sílvio Velosa, 2006, Fundação Caloudte Gulbenkian.
B- Estatística: Teoria e Aplicações, Levine, D., Berenson, M. e Stephan, D. 2000, LTC Editora.
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|
Language |
Portuguese. Tutorial support is available in English.
|