ISLA Santarém 194

Statistics

• ApresentaçãoPresentation

    
• ProgramaProgramme

  1. Descriptive statistics: Basic concepts: population, attribute, modalities, and sample. Statistical data measurement scales.  Absolute and relative frequencies. Cumulative frequencies. Measures of central tendency. Measures of dispersion.  Measures of asymmetry and kurtosis. 2. Probability theory: Basic concepts. Axioms of probability. Conditional probabilities. Independent events.  Multiplicative and additive rules. 3. Random variables: Discrete random variables: probability function, distribution function. Absolutely continuous random variables : probability density function, distribution function. Mathematical expectation. Variance and  standard deviation. Independent random variables. 4. Probability distributions: Discrete distributions. Continuous distributions.
• ObjectivosObjectives

  Provide students with the knowledge that will enable them to analyze data using descriptive statistics methodologies. Present the fundamental concepts of probability theory. Provide students with knowledge of the language of probability and statistics. Read and correctly interpret documents that use basic statistical language. Formulate practical problems and express practical situations using the language of probability theory and statistics. Read and correctly interpret documents that use probabilistic and statistical language. Formulate practical problems and express practical situations using the language of probability theory and statistics. Use specific software and interpret the outputs resulting from the application of descriptive statistical methods.
• BibliografiaBibliography

  Marôco, João (2018). Análise Estatística com SPSS, ReportNumber. Schiefer, H., & Schiefer, F. (2021). Statistics for Engineers: An Introduction with Examples from Practice. Springer Nature. Devore, J. L., Berk, K. N., & Carlton, M. A. (2021). Modern mathematical statistics with applications. 3rd edition. New York: Springer. Rhinehart, R. R., & Bethea, R. M. (2022). Applied Engineering Statistics. CRC Press. Gupta, B. C., Guttman, I., & Jayalath, K. P. (2020). Statistics and probability with applications for engineers and scientists. Wiley.
• MetodologiaMethodology

    
• LínguaLanguage

  Português
• TipoType

  Semestral
• ECTS

  5
• NaturezaNature

  Mandatory
• EstágioInternship

  Não
• AvaliaçãoEvaluation

  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	9-06-2026	50%
  Trabalho Prático	05-05-2026	50%
  (...)

   

  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...