Base Knowledge
Not applicable.
Teaching Methodologies
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 done using the
SPSS computer support, thus making it possible to apply the material taught to real cases.
Students are provided a theoretical support, throughout the semester, so that they can better follow the
explanation of the subjects taught. The clarification of questions is done in fixe schedule or in time to be
arranged. The NONIO platform is used in the transmission and organization of support to school materials as
well as through interaction teacher / student and among students.
Learning Results
The student should acquire skills to understand the underlying applicability of the theoretical models used for statistical analysis as well as analyse and interpret the results obtained. Students should also be able to use the computer software SPSS to solve problems involving the concepts developed in the course.
The student should acquire the basic skills for conducting studies for quantitative analysis, also critical appreciation and proper interpretation of the results of an inferential study.
Program
Chapter 1 – Descriptive Statistics
1.General Concepts
population, sample and individuals
types of measurement
types of statistics
2 Descriptive Statistics
Tables of frequencies
Graphical representation
Statistics
measures of central tendency
dispersion measurements
Skewness and Kurtosis measurements
3. Introduction to statistical software SPSS
Chapter 2 – Hypothesis Testing (Statistical hypothesis, errors classification and significance levels of tests with normal
distribution, type tests)
Chapter 3 – Strategies for statistical treatment of the data
Chapter 4 – Parametric tests
Requirements for the use of parametric tests
Criteria of choice
Parametric Statistics
One-sample t-test
Two-sample t-tests for a difference in mean
Analysis of variance – ANOVA
Correlation and Regression
Chapter 5 – Nonparametric Statistics
Paired samples: Friedman, Wilcoxon and McNemar
Independent samples: Mann-Whitney and Kruskal-Wallis H
Curricular Unit Teachers
Maria Clara da Silva Pereira RochaInternship(s)
NAO
Bibliography
Main Bibliography
- Daniel, Wayne W. (2010). Biostatistics: basic concepts and methodology for the health sciences. Hoboken [EUA]: Wiley.
- Labrousse, Christian (1983). Estatística descritiva: resumos teóricos: exercícios resolvidos. Porto: Rés Editora, Lda.
- Pereira, Alexandre (2004). Guia prático de utilização do SPSS: análise de dados para ciências sociais e psicologia. 5ª ed. rev. aum. Lisboa: Sílabo. ISBN 972-618-342-1.
- Pestana, Maria Helena; Gageiro, João Nunes (1998). Análise de dados para ciências sociais: a complementaridade do SPSS. 1ª ed. Lisboa: Sílabo. ISBN 972-618-181-X.
- Zar, Jerrold H. (2010). Biostatistical Analysis. Upper Saddle River, N.J.: Pearson/Prentice Hall.
Secondary Bibliography
- Oliveira, A. Gouveia de (2009). Bioestatística, Epidemiologia e Investigação – teoria e aplicações, Lidel.
- Mercês de Mello, Francisco; Guimarães, Rita Cabral (2015). Métodos Estatísticos para o Ensino e a Investigação nas Ciências da Saúde, Edições Sílabo.
- Cunha, Gilda; Martins, Mª do Rosário; Ricardo Sousa; Ferraz de Oliveira, Filipa (2007). Estatística aplicada às ciências e tecnologias da saúde, Lidel.
- Maroco, João (2003). Análise estatística com utilização do SPSS, Edições Sílabo.
- Vidal, Pedro Marques (2005). Estatística prática para as ciências da saúde, Lidel.