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ISLA IPGT 979

Statistics I

Safety at Work Engineering
  • ApresentaçãoPresentation
    The Statistics I course aims to familiarize students with the basic concepts of thought, language and statistical techniques. Students should be able to recognize the usefulness and wide application of these methodologies in various contexts, in particular in their areas of study. When considering the rapidly changing world as the one we are living in, it is essential to know the probability of the occurrence of events in order to streamline decision making and make predictions.
  • ProgramaProgramme
    Descritive Statistics Basic concepts Absolute and relative frequencies Cumulative frequency Measures of central tendency: mean, median, mode Measures of non central tendency: quartiles, decis e percentiles Measures of dispersion: variance and standard deviation Measures of Skewness Measures of kurtosis   Probability theory Basic concepts Classical Definition Axioms of probability Conditional Probability Independent Events Bayes' theorem Combinatory Analysis   Probability Distributions Discrete distributions: Binomial, Multinomial, Hypergeometric, Poisson Poisson Approximation to the Binomial Distribution Distributions: Normal (Gauss Distribuition), Exponential and T-Student Normal Approximation to the Binomial Distribution Normal Approximation to the Poisson Distribution
  • ObjectivosObjectives
    The basic aim of this course is to introduce the statistical tools necessary to analyze and interpret a data set and provide students with a set of techniques and statistical methods that facilitate analysis and interpretation of information.
  • BibliografiaBibliography
    Gomes, C. (2024). Material de Apoio à Unidade Curricular de Estatística I. ISLA-Instituto Politécnico de Gestão e Tecnologia. Johnston, J. (1991). Econometric Methods. McGraw Hill. Murteira, J. F. Bento e Black, G. H.J. (1983). Estatística Descritiva. McGraw Hill. Reis, E. (2008). Estatística Descritiva (7º ed.). Editora Silabo. Murteira, B., Ribeiro, C. S., Silva, J. A., Pimenta, C. (2002). Introdução à Estatística. McGraw-Hill.
  • MetodologiaMethodology
    Use of moodle where the student has access to digital sebentas that allows him to absorb the content through the virtual medium and when arriving at the classroom is already aware of the subject to be developed. The "inverted classroom" makes it possible to know the concepts before approaching them allowing to monetize the time and motivate the students to contribute with their own learning, awakening curiosity and proactivity. Intensify the understanding of the use of descriptive statistics in scientific studies, thus demonstrating the presence of this content in several academic publications. Use of the interactive whiteboard to make presentations more dynamic. Use of platforms (such as Zoom) to allow students who cannot be in person not to miss the possibility of integrating the class.
  • LínguaLanguage
    Português
  • TipoType
    Semestral
  • ECTS
    6
  • NaturezaNature
    Mandatory
  • EstágioInternship
    Não