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# Statistics for Social Sciences

 Code 13123 Year 1 Semester S2 ECTS Credits 5 Workload TP(45H) Scientific area Mathematics Entry requirements NA Mode of delivery Face-to-face. Learning outcomes The student should be able to obtain a sample to carry out a project, describe the sample data, summarize the information by presenting it through graphs or numerical quantities. S/He will also be able to calculate probabilities. The student will be able to use the SPSS statistical package to conduct descriptive data analysis. At the end of the Course, the student should be able to:- Understand and apply statistical methods used in the analysis of different types of data.- Use computer programs to allow the statistical analysis of real data.- Produce and organize the results of a statistical analysis of real data.- Analyze and critique studies and / or articles in the area of Sociology, which are in accordance with the programmatic contents. Syllabus - Data collection. Introduction to SPSS.- Population versus sample.- Classification of statistical variables and their scales of measures.- A brief introduction to the SPSS interface. Introduction of data in SPSS.- Frequency tables of one-dimensional and two-dimensional variables.- Absolute and relative frequency tables.- Contingency tables. Graphical representations of one-dimensional and two-dimensional variables.- Statistics of local tendency- Relative and absolute dispersion measures.- Measures of asymmetry and kurtosis- Linear correlation- Scatter diagram- Pearson correlation coefficientIntroduction to Probability Theory- Random experiences. Results space. Events.- Axiomatic definition of probability. Properties. Law of Laplace.- Conditional probabilities. Independence. Random variables (discrete and continuous). - Expectedvalue of a random variable.- Variance of a random variable.- Binomial distribution.- Normal distribution. Main Bibliography 1. Murteira, B., Ribeiro, C., Silva, J. e Pimenta, C. (2015), Introdução à Estatística – 3ª edição. Escolar Editora.2. Maroco, João (2007) “Análise Estatística com a utilização do SPSS”, Edições Silabo. Planned learning activities and teaching methods The classes are theoretical-practical, in which a computer is available for every two students. In all classes, the students will use the computer for data treatment (from the Sociology area) with a statistical program (SPSS). Metodologias de Ensino e Critérios de Avaliação São realizados dois testes de avaliação (individual) de conhecimentos ao longo do semestre. É realizado trabalho de grupo envolvendo a análise de dados no SPSS. A classificação final de ensino aprendizagem (CEA) resulta da soma das classificações dos dois testes individuais (90%) e do trabalho de grupo (10%). Language Portuguese. Tutorial support is available in English.

### Course

Sociology
Last updated on: 2017-06-22

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