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Category: Discipline

• Afonso, A., e Nunes, C. (2019). Probabilidades e Estatística: Aplicações e Soluções em SPSS. Universidade de Évora Anderson, D. R., Sweeney, D. J., Williams, T. A., Camm, J. D., e Cochran, J. J. (2017). Statistics for Business & Economics (13th edition). Boston, USA: Cengage Learning  
• Commercial Management
• 6814
• 24358
• Data Analysis and Business Metrics
• IPLUSO6814-24358
• 2
• 6
• 0
• 4
• Não
• Português
• Classes combine theoretical and practical components, with the theoretical presentation of the course content complemented by practical examples and problem-solving exercises. Computers equipped with SPSS will be used. Problem-based learning will be promoted, with students, guided by the instructor, expected to identify problems and plan and implement appropriate problem-solving strategies.
• Mandatory
• The curricular unit aims to introduce students to descriptive data analysis and business metrics to measure, control and improve the activities carried out by organizations. In this context, the SPSS software will be used. By the end of the curricular unit, students should be able to use the acquired knowledge in order to solve practical problems in their field of study.
• 1) Descriptive statistics: Introduction. Population and sample. Parameters and statistics. Variables and their classification. Tabular and graphical representation of univariate and bivariate data. Descriptive measures. Simple linear regression. Introduction to SPSS. 2) Business metrics: Introduction. Index numbers. Simple and aggregate indices. Consumer and producer price indices. Deflation of values. Quantity indices.

• Descrição dos instrumentos de avaliação e ponderação na nota final.

  Descrição	Ponderação
  Participação em sala de aula	20%
  Ficha de avaliação	30%
  Teste de avaliação	50%

   

• Semestral
• The course unit falls within the area of statistics applied to management, supporting the collection, processing, and interpretation of data to inform decision-making in commercial contexts. Its scope includes exploratory analysis, an introduction to SPSS and the practical application of exploratory data analysis, as well as statistical inference through hypothesis testing. It also covers index numbers and deflation to enable time-based comparisons in real terms. The course unit is relevant within the degree programme because it develops data literacy, analytical rigor, and the ability to communicate results-essential for performance in commercial management.