Biostatistics

Code	12510
Year	2
Semester	S2
ECTS Credits	6
Workload	TP(60H)
Scientific area	Mathematics
Entry requirements	Cálculo
Mode of delivery	Face to Face.
Work placements	Not applicable
Learning outcomes	At the end of the curricular unit, students should be able to: - Obtain basic knowledge of Probability and Statistics, vital for future learning of more advanced concepts that arise in the course of academic and/or professional training. - Select and apply proper statistical methods to draw conclusions under uncertainty in Optometry and Vision Science.
Syllabus	1. Introduction to Probability Theory: - axioms and laws of probability, conditional probability and independence of events; - Binomial, Geometric, Poisson, Normal distributions; - moments and Central Limit Theorem. 2.Introduction to Statistical Inference: - point estimation; - confidence intervals, - hypothesis tests. 3. Linear regression.
Main Bibliography	- Gonçalves, M. E., Nogueira, M. E. e Rosa, A. C. (2020). Probabilidades e estatística para ciências e tecnologia : conceitos e exercícios resolvidos .Edições Almedina. Cota: M-7.0-00029. - Hall, A., Neves, C. e Pereira, A. (2011). Grande maratona de estatística no SPSS. Escolar Editora. Cota: EG-4.2-00500. - Murteira, B., Ribeiro, C., Silva, J.A. e Pimenta, C. (2010). Introdução à estatística. Escolar Editora. Cota: EC-1.0-00135 - Pedrosa, A. e Gama, S. (2004). Introdução computacional à probabilidade e estatísitca. Porto Editora. Cota: I-8.0-00013
Language	Portuguese. Tutorial support is available in English.