Teaching Methodologies
The classes consist of a theoretical exposition of the subject but always accompanied by practical examples so
that there is a better and easier understanding of it. The resolution of practical exercises is made using the SPSS
computer support thus making possible the application of subjects taught on real cases.
The continuous evaluation of this curricular unit entails the realization of a practical work (15%), a written test of
mid-term evaluation (15%) and a final written exam (70%).
Learning Results
The student must acquire knowledge about:
• Tests of statistical significance.
• Analysis of correlation between statistical variables.
• ROC curves.
• Data analysis Software SPSS (Statistical Package for Social Sciences).
The student must acquire skills:
• Criticize the conditions underlying the applicability of theoretical models used for statistical analysis, as well as
analyse and interpret the results.
• Using the SPSS computer application in solving problems involving the concepts developed in the curricular unit.
The student must acquire the competences of:
• Making studies of quantitative data analysis
• Critical appreciation
• Proper interpretation of the results of an inferential study.
Program
– Hypothesis testing (Statistical Hypotheses, misclassification errors and significance levels, tests with normal
distribution, type of tests)
– Parametric Tests
. Test for population average: student’s t test
. Comparison of two means of population: student’s t test
. Comparison of averages of more than two populations: ANOVA
– Non-Parametric Tests
. Paired samples: Friedman, Wilcoxon and McNemar
. Independent samples: U of Mann-Whitney and H of Kruskal-Wallis
– ROC curves
Internship(s)
NAO
Bibliography
A. Gouveia de Oliveira(2009). Bioestatística, Epidemiologia e Investigação – teoria e aplicações, Lidel.
Cecília Moura Silva (1994). Estatística aplicada à psicologia e ciências sociais, McGraw-Hill.
Gilda Cunha, Mª do Rosário Martins, Ricardo Sousa, Filipa Ferraz de Oliveira.(2007). Estatística aplicada às ciências
e tecnologias da saúde, Lidel.
João Maroco (2003). Análise estatística com utilização do SPSS, edições Sílabo.
Pedro Marques Vidal (2005). Estatística prática para as ciências da saúde, Lidel.