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IPLUSO 18870

Data Analysis and Processing

Accounting and Management
  • ApresentaçãoPresentation
    Awaken in the student a sensitivity that leads in the future to realize when to perform statistical methods again; enable the student to critically analyze the statistical analysis results that will be presented without tracking their future professional activity
  • ProgramaProgramme
    Program: 1. Descriptive statistics -Basic concepts (Variables, population and sample) - Frequency distributions. - Measures of central tendency and non-central - Measures of absolute and relative dispersion and measure of distribution. 2 - Probability theory. - Probability concepts. - Conditional probabilities. - Independent events. - Bayes Theorem. 3 - Random variables: Concept of random variables. - Probability and distribution functions. 4 - Distributions of discrete variables ( Binomial, Poisson) 5 - Distributions of continuous variables (Uniform, Exponential and Normal) 6. Central limit theorem 7 Correlation and Regression.
  • ObjectivosObjectives
    Students are expected to: A.Understand the basic concepts of descriptive statistics; B) have learnt the basic concepts of probability theory and random variables, and how to apply them correctly; C) master the most important theoretical distributions (discrete and continuous), in particular the Normal distribution, Binomial and t of "Student"; D) master basic concepts of sampling and sample distributions; E) know how to use point estimation and confidence intervals; F) be familiar with the SPSS statistical software.
  • BibliografiaBibliography
      Maroco, J. (2018). Análise Estatistica com o SPSS Statistics 7ª ed., Lisboa: Report Number. Pestana, M.H. & Gageiro, J. (2014) Análise de Dados para Ciências Sociais: A complementaridade do IBM_SPSS, 6ª edição. Edições Sílabo. Lisboa. Reis, E. (1996). Estati¿stica descritiva. Lisboa: Edições Sílabo. Ross , ( ) Introduction to Probability and Statistics for Engineers and Scientists  
  • MetodologiaMethodology
    The curricular unit includes: 1 - theoretical-practical classes explaining the program contents, complemented with the resolution and discussion of practical exercises. 2 - Practical classes in a computer laboratory that will allow learning and use of the software to carry out the statistical analyzes covered in the UC and the corresponding interpretation of the results. The final grade corresponds to a weighted average of two evaluation components: i) two moments of continuous assessment whose value will be 60% for tests and 30% for practical group work, ii) participation worth 10% of the final grade. The weighted average of the components, rounded to the nearest unit, must be at least 10 values ¿¿to be approved. At no point in the evaluation can the grade be lower than eight points. FINAL EXAM: If the student chooses not to be in continuous assessment, they will be subject to a final exam.      
  • LínguaLanguage
    Português
  • TipoType
    Semestral
  • ECTS
    5
  • NaturezaNature
    Mandatory
  • EstágioInternship
    Não