Biostatistics

Code	12510
Year	2
Semester	S2
ECTS Credits	6
Workload	TP(60H)
Scientific area	Mathematics
Entry requirements	Cálculo I
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.
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.