Teaching Methodologies
THEORY LESSONS In the lectures the concepts, methodologies, demonstrations and application forms to realization, interpretation and analysis of the problems of statistical nature, illustrating with the completion of application examples will be presented
PRACTICAL LESSONS Practical classes will consist of resolution and interpretation exercises,using manual calculation, and the use of computational calculation on some themes of the program,with the use of SPSS 1.Periodic Assessment-Students may choose to conduct a periodic assessment,which consists of a comprehensive
test with theoretical and practical part and a job.lf you get rank equal to or higher than 10 in all the evaluations,the student is exempted from examination
2.final examination-All students who have not obtained approval by the regime of periodic assessment,should undergo a comprehensive test, with theoretical and practical part of the final exam
Students who obtain values equal to or greater than ten values are Approved
Learning Results
It is intended that the discipline of statistics is a working tool, a practical utility, enabling the analysis and interpretation of results in the context of other subjects in the course and during their professional activity, as well as reading and interpretation of articles of scientific and technological nature. lt also aims to introduce some statistical methods for analysis and prediction of outcomes as well as outputs of the interpretation of results.
Program
General concepts
Population and sample
Sampling
Descriptive Statistics
Characteristics of the normal distribution
Statistical parametric and nonparametric
Nonparametric tests step-by-step
tests for two related samples
Tests for k independent samples
Test samples related to k
Measures of correlation and their tests of significance
Internship(s)
NAO
Bibliography
Pestana, M.H.; & Gageiro, J.N. (2005). Análise de dados para Ciências Sociais – A complementaridade do SPSS, la ed. Lisboa: Edições Sílaba