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Estatística - Bioquímica - Sem Ramos - Especialidades


7.5
ECTS / Credit Units
Year: 2 / 1º Semestre
Plan: 2007/08
Scientific Area: MAT
Level: Básico

Semestral Hour Load

Theorical: 32.00
Theorical-Pratical: 48.00
Pratical and Laboratorial:
Fieldwork:
Seminar:
Internship:
Tutorial:

 

Assigned Internship Hours:
Assigned Projects Hours:
Assigned Fieldwork Hours:
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Degree having this Course

Degree - Branch Degree Plan Year
Bioquímica - Sem Ramos - Especialidades 2007/08

Teaching Staff

Délia Canha Gouveia Reis
Délia Canha Gouveia Reis


Responsibilities:
Ensino teórico-prático
Rita Maria César e Sá Fernandes de Vasconcelos
Rita Maria César e Sá Fernandes de Vasconcelos


Responsibilities:
Regência
Responsável pelas Pautas
Ensino teórico

Course Information

Course Objectivs

1 Stimulate the ability to interpret statistical information, whether of a general nature that appears in the media or the more specific of the respective area.

2 Provide the learning of some simple techniques used in statistical inference through problem resolution using confidence intervals, hypothesis testing and models.

3 Deal with situations where the use of parametric methods is not adequate; use non-parametric statistics.

4 Perspectives of statistics as a science and respective implications in addressing the issues of everyday life.

5 Develop the ability to obtain, interpret and communicate statistical results effectively.

6 Foster critical thinking.

Evaluation Criteria

Classification Type: Quantitative (0-20)
Evaluation Methodology: The lectures are mostly expository (using the computer and the projector) although students may intervene to post their doubts . The theoretical/practical classes are designed for students to solve the proposed exercises. Some of the exercises are solved using the computer. As far as possible, taking into account the number of students, there is an individual supervision followed by a general explanation. M3 ? The evaluation in this UC is constituted by two tests, each one with a weight of 50%. In case of failure, there is an exam, which allows the recovery of the evaluation of one or two tests.

Program Resume (get program detail)

Main Bibliography

Daniel, W. (1995). Biostatistics: A Foundation for Analysis in the Health Sciences. John Wiley & Sons.
Zar, J.H. (1999). Biostatistical Analysis. Prentice Hall International Editions.
Moore, D. S., McCabe, G. P. (2003). Introduction to the Practice of Statistics. W. H. Freeman.
Pestana, D. D., Velosa, S. F. (2010). Introdução à Probabilidade e à Estatística. Fundação Calouste Gulbenkian.
Everitt, B.S. (1977). The analysis of contingency tables. Wiley, New York.
Siegel, S. (1975). Estatística não-paramétrica (para as ciências do comportamento). McGraw-Hill.
Maroco, J. (2010). Análise estatística com o PASW Statistics (ex-SPSS). ReportNumber, Lda.
Martinez, L.F., Ferreira, A.I. (2008). Análise de dados com SPSS. Primeiros passos. Escolar Editora.
Reis, E., Melo, P., Andrade, R. e Calapez, T. (1997). Estatística Aplicada. Edições Sílabo.

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