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Presentation
Presentation
This course introduces students to the organization, summarization, and basic analysis of data, using SPSS as a supporting tool. It also covers fundamental concepts of probability and the resolution of problems involving random variables, providing an essential foundation for interpreting and handling quantitative information.
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Class from course
Class from course
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Degree | Semesters | ECTS
Degree | Semesters | ECTS
Bachelor | Semestral | 5
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Year | Nature | Language
Year | Nature | Language
2 | Mandatory | Português
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Code
Code
ULP7018-979
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Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
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Professional Internship
Professional Internship
Não
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Syllabus
Syllabus
- Descriptive statistics: Introduction. Population and sample. Parameters and statistics. Variables and their classification. Tables and graphics for univariate and bivariate data. Descriptive measures. Introduction to SPSS.- Probabilities: Introduction. Random experiment, sample space and events. Probability: definition, interpretations and properties. Conditional probability. Independent events. Bayes' theorem.- Random variables: Introduction. Discrete random variables. Probability function and distribution function. Continuous random variables. Probability density function and distribution function. Models of discrete and continuous random variables.
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Objectives
Objectives
By the end of the course unit, students should be able to organize, summarize, and perform a basic analysis of a data set using SPSS, as well as calculate probabilities and solve problems involving random variables.
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Teaching methodologies
Teaching methodologies
Teaching practices will be mediated by Information and Communication Technologies, using computers and/or mobile devices. Students will be exposed to interactive resources such as quizzes. Learning based on problem-solving will be promoted, where students, guided by the teacher, will have to identify problems and plan and carry out ways of resolution. The aim is to improve the teaching and learning process and provide students with the necessary competencies for the challenges currently facing humanity and to increase their motivation concerning the course.
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References
References
Afonso, A., e Nunes, C. (201 9 ). Probabilidades e Estatística: Aplicações e Soluções em SPSS - Versão revista e aumentada . Universidade de Évora .- Anderson, D. R., Sweeney, D. J., Williams, T. A., Camm, J. D., e Cochran, J. J. (2019). Statistics for Business & Economics (14th edition) . Cengage Learning.- Pestana, M. H., e Gageiro, J. N. (2014). Análise de Dados para Ciências Sociais - A Complementaridade do SPSS (6ª edição) . Edições Sílabo
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Assessment
Assessment
Descrição dos instrumentos de avaliação (individuais e de grupo) ¿ testes, trabalhos práticos, relatórios, projetos... respetivas datas de entrega/apresentação... e ponderação na nota final.
Exemplo:
Descrição
Data limite
Ponderação
Teste de avaliação
dd-mm-yyyy
30%
Portfolio
dd-mm-yyyy
40%
(...)
Adicionalmente poderão ser incluídas informações gerais, como por exemplo, referência ao tipo de acompanhamento a prestar ao estudante na realização dos trabalhos; referências bibliográficas e websites úteis; indicações para a redação de trabalho escrito...
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Mobility
Mobility
No





