ISLA IPGT 4944

Quantitative Methods

• ApresentaçãoPresentation

  This course unit introduces the statistical concepts and methods required to organise, analyse and interpret data in Tourism Management. It develops statistical literacy, quantitative reasoning and the critical use of information to support decisions concerning tourism organisations, visitors and destinations. It uses exercises, tourism data and spreadsheets. Calculations and interpretation of results are accompanied by checks of assumptions and analysis of methodological limitations, preparing students for other course units and for the analysis of management problems.
• ProgramaProgramme

  1. Descriptive Statistics: 1.1. Basic concepts. 1.2. Absolute and relative frequencies 1.3. Cumulative frequencies 1.4. Measures of central tendency: mean, median, mode 1.5. Measures of non central tendency: quartiles, deciles and percentiles 1.6. Measures of dispersion: variance and standard deviation 1.7. Measures of Skewness 1.8. Measures of kurtosis 2. Probability Theory: 2.1. Basic concepts 2.2. Classical Definition 2.3. Conditional Probability 2.4. Independent Events 2.5. Bayes' theorem. 3. Probability distributions 3.1. Discrete Distributions 3.2 Probability distributions of continuous variables 4. Confidence intervals 4.1. Confidence interval for the mean 4.2. Confidence interval for the difference between means 4.3. Confidence interval for the variance 4.4. Confidence interval for a proportion
• ObjectivosObjectives

  Knowledge: Understand the concepts of descriptive statistics, probability, probability distributions and confidence intervals, together with the assumptions underlying their application. Skills: Organise and analyse data, calculate and interpret descriptive measures and confidence intervals for the mean, the difference between means, the variance and the proportion, and solve probability problems. Competences: Select and apply statistical methods appropriate to tourism problems, justify procedures, interpret results and recognise limitations, working independently and rigorously.
• BibliografiaBibliography

  Murteira, B., Ribeiro, C. S., Silva, J. A., Pimenta, C. (2023). Introdução à estatística. Escolar Editora Murteira, Bento; Antunes, Marília (2012). Probabilidades e Estatística . Volume I. Escolar Editora. Nunes, C. (2022). Probabilidades e Estatística: Problemas resolvidos e propostos. Escolar Editora Reis, E. (2008). Estatística Descritiva (7º ed.). Edições Sílabo. Reis, E., Andrade, R., Calapez, T., Melo, P. (2021). Estatística Aplicada. Edições Sílabo Santos, C. (2018). Estatística Descritiva: Manual de Auto-Aprendizagem. Edições Sílabo
• MetodologiaMethodology

  To make learning a success, we have organised the process using active methodologies. The entire teaching-learning process is structured in such a way as to require students to actively participate in the construction of their knowledge process. In this sense, the transposition of the reality shown by the programme contents to the context of tourism will be encouraged. This approach will give students a better insight into the practical applicability of the content. The use of real cases also aims to develop analytical skills
• LínguaLanguage

  Português
• TipoType

  Semestral
• ECTS

  5
• NaturezaNature

  Mandatory
• EstágioInternship

  Não
• AvaliaçãoEvaluation

  Avaliação contínua

  Descrição	Ponderação
  Teste 1	35%
  Teste 2	35%
  Trabalho interdisciplinar com Metodologias da Investigação	20%
  Presenças	10%

   

  Exame de recurso e Exame de época especial

  Descrição	Ponderação
  Exame escrito	60%
  Trabalho interdisciplinar com Metodologias da Investigação	40%

   

  • A frequência da avaliação contínua é obrigatória. 
  • Presença obrigatória em, pelo menos, 70% da carga horária lecionada para a unidade curricular, sem prejuízo das dispensas legal ou regulamentarmente reconhecidas.