ISLA IPGT 194

Statistics

• ApresentaçãoPresentation

  The Statistics Curricular Unit is aimed at the development of core competences in Statistics Applied to Management, preparing the students to the new data-driven and data intensive organizational contexts in accelerated transformation by the synergizing of Statistics, Data Science, Business Analytics and Business Intelligence. In that sense, the CU operationalizes the main concepts, methods and technologies, applying them to management problems worked in class with the students.
• ProgramaProgramme

  Descriptive statistics: Introduction. Population and sample. Parameters and statistics. Variables and their classification. Tabular and graphical representation of univariate and bivariate data. Descriptive measures. Discrete and continuous random variables.  Probabilities: Introduction. Randomised experiment, space of results and events. Probability: definition, interpretations and properties. Conditional probability. Independent events. Bayes' theorem. Theorem. Probability distributions of continuous variables Exponential distribution; Normal distribution; t-Student distribution Confidence intervals Confidence intervals for mean, difference of means, proportion, difference of proportions, variance, ratio of variances Hypothesis testing Test of the value of the mean, comparison of means, proportions, comparison of proportions, variance, comparison of variances.  
• ObjectivosObjectives

  At the end of the course, students should be able to: 1. organise, summarise, present and carry out an elementary analysis of a set of data, calculate probabilities and solve problems involving random variables. 2. Understand the techniques for analysing and interpreting data commonly used in empirical research and in the world of work. 3. Know and apply inference techniques, using statistical methods that facilitate the analysis and interpretation of information. The student should understand theoretical probability distributions and recognise their applicability in concrete cases; understand the meaning of confidence intervals and hypothesis tests;
• BibliografiaBibliography

  Afonso, A., e Nunes, C. (2011). Probabilidades e Estatística: Aplicações e Soluções em SPSS. Lisboa, Portugal: Edições Sílabo. Guimarães, R. C., e Cabral, J. S. (2010). Estatística (2ª edição) . Lisboa, Portugal: Verlag Dashöfer Portugal. Murteira, B., Ribeiro, C. S., Silva, J. A., e Pimenta, C. (2015). Introdução à Estatística (3ª edição) . Lisboa, Portugal: Escolar Editora. Pestana, M. H., e Gageiro, J. N. (2014). Análise de Dados para Ciências Sociais - A Complementaridade do SPSS (6ª edição) . Lisboa, Portugal: Edições Sílabo Gomes, C. (2020). Material de Apoio à Unidade Curricular de Estatística. ISLA-Instituto Politécnico de Gestão e Tecnologia. Kazmier, L. (1982). Estatística Aplicada a Economia e Administração . Schaum McGraw-Hill. Reis, E. (2008). Estatística Descritiva (7ª ed.). Edições Sílabo.Estatística,  Pinto, R.(2012). Introdução à análise de dados - com recurso ao SPSS (2ª edição revista e atualizada). Edições Silabo. ISBN 9789726186922  
• MetodologiaMethodology

  Classes are of a theoretical and practical nature, where the theoretical exposition of the syllabus is accompanied by the presentation of practical examples and exercises. The evaluation is carried out taking into account the assessment regulation Regulamento Geral de Avaliação da Universidade Lusófona do Porto. Pedagogical innovation practices : Pedagogical practices will be mediated by Information and Communication Technologies, using computers and/or mobile devices. Students will be exposed to interactive educational resources, such as quizzes. Problem-based learning will be promoted, where the students, guided by the teacher, should identify problems and plan and carry out resolution paths. The aim is to improve the teaching and learning process, to provide students with the necessary skills for the challenges currently facing humanity, and to increase their motivation in relation to the course  
• LínguaLanguage

  Português
• TipoType

  Semestral
• ECTS

  4
• NaturezaNature

  Mandatory
• EstágioInternship

  Não