filmeu

Class Biomathematics and Statistics

  • Code

    Code

    ULHT6580-3073
  • Syllabus

    Syllabus

    History and development of Statistics Descriptive statistics. Frequency Tables Types of variables Parameters of a distribution and related statistics Statistical inference Study design: null hypothesis and alternative hypothesis. Timely and/or interval estimation (confidence intervals) Choice of statistical test. Parametric hypotheses testing Student's t test Analysis of Variance: one factor and two factors Adjustment quality tests: Chi-square and Kolmogorov-Smirnov. Nonparametric hypotheses testing Reference to the Mann-Whitney test, Kruskal-Wallis and Wilcoxon test for ordinal variables, and McNemar's test for nominal variables Contingency tables Analysis of contingency tables Tests of independence Covariance. Correlation. Linear regression. Pearson's correlation coefficient. Dispersion diagram. Method of least squares
  • Objectives

    Objectives

    The Biomathematics and Statistics curricular unit (UC) aims to make students aware of the possibility of dealing statistically with issues essential to developing and applying a wide range of knowledge. The Biomathematics and Statistics curricular unit aims to provide students with statistical tools that will enable them to learn and assimilate concepts in subsequent subjects within the scope of the degree. At the same time, it is intended that students develop methods of reasoning that familiarize them with experimental planning and problem-solving that they normally encounter, regardless of the subjects taught.
  • Teaching methodologies and assessment

    Teaching methodologies and assessment

    The teaching-learning methodologies include various instruments, based on masterly/tutorial teaching and theoretical-practical, face-to-face teaching. Other non-face-to-face instruments (e.g. moodle) complete and diversify the options available. The theoretical-practical classes aim to deepen and practice the topics taught in the theoretical classes, thus providing more direct contact with these topics. The assessment system is preferably continuous and consists of 2 written tests (40% each) and a practical group assignment (15%). Attendance at theoretical-practical classes and participation in solving the proposed exercises count towards the final grade, contributing 5%.   The final exam regime applies to students who opt for it, students who fail the continuous assessment, and those who request a grade improvement, covering the entire syllabus.
  • References

    References

    Motulsky, H. Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking, 4th edition, Oxford University Press, 2018, 9780190643560. Martins M. E. G, Introdução à Probabilidade e Estatística com complementos de Excel. Departamento de Estatística e Investigação Operacional da FCUL, Sociedade Portuguesa de Estatística, 2005. https://www.spestatistica.pt/publicacoes/publicacao/introducao-probabilidade-e-estatistica. Robalo, A. e Botelho M. C., Estatística – Exercícios Vol. I e II: 6 Ed. Ed. Sílabo. 2018, ISBN: 978-972-618-936-7 Cordeiro N., Magalhães A., Introdução à Estatística: Uma Perspectiva Química, LIDEL- Edições Técnicas Lda, Lisboa, 2004. ISBN: 978-972-757-276-2. Afonso A., Nunes C., Probabilidades e Estatística: aplicações e soluções em SPSS, Universidade de Évora, 2019, ISBN: 978-972-778-123-2.
SINGLE REGISTRATION
Lisboa 2020 Portugal 2020 Small financiado eu 2024 prr 2024 republica portuguesa 2024 Logo UE Financed Provedor do Estudante Livro de reclamaões Elogios