filmeu

Class Statistics

  • Presentation

    Presentation

    Statistics plays a pivotal role not only in data comprehension but also in modern marketing. It enables professionals in the field to understand consumer behavior better, identify market segments, assess the effectiveness of advertising campaigns, and much more. Descriptive statistics empower marketing professionals to synthesize, describe, and interpret complex information stemming from various sources, including surveys and opinion studies. In a world where data quantities are massive, Statistics becomes an indispensable tool for rendering such voluminous information manageable, aiding in the identification of trends and the making of informed decisions. However, it is crucial to acknowledge that summarizing information inevitably entails a loss of detail.  
  • Code

    Code

    ULHT168-194
  • Syllabus

    Syllabus

    Course Overview: Program, Bibliography, Evaluation, Statistical Interest; Basic Applications in Statistics; Data Collection and Sampling; Measures of Descriptive Statistics; Data Organization: Graphs and Tables; Probabilities; Linear Correlation and Linear Regression.
  • Objectives

    Objectives

    This course equips students with the essential tools for data analysis, enabling them to apply statistical techniques to real-world problems. Key learning objectives include: Mastering measures of central tendency, dispersion, and distribution. Interpreting data using descriptive statistics, both numerically and visually. Utilize techniques of Descriptive Statistics, both numerically and graphically, to obtain appropriate interpretations of data sets. Understanding fundamental probability concepts and solving related problems. Calculating key statistical parameters like expected value, variance, and standard deviation. Grasping the concepts of correlation and linear regression and their practical applications.
  • Teaching methodologies and assessment

    Teaching methodologies and assessment

    Problem-Based Learning (PBL). With this approach, the program aims to engage students in purposeful learning experiences, encouraging them to tackle authentic and relevant challenges of the present. Students are prompted to apply critical thinking throughout the investigative process. This methodology fosters essential skills for both academic and professional contexts, enhancing their learning journey.
  • References

    References

    Agresti, A., Franklin, C. A., & Klingenberg, B. (2021). Statistics: The Art and Science of Learning from Data, Global Edition. Bispo, R., & Maroco, J. (2005). Estatística Aplicada às Ciências Sociais e Humanas. 2a Edição. Climepsi Editores. Barroso, M., Sampaio, E., & Ramos, M. (2010). Exercícios de Estatística Descritiva para as Ciências Sociais. 2a Edição. Edições Silabo. Healey, J. F., & Donoghue, C. (2020). Statistics: A Tool for Social Research and Data Analysis. Cengage Learning. Mazzocchi, M. (2008). Statistics for marketing and consumer research. SAGE. Murteira, B., Ribeiro, C. S., Silva, J. A., & Pimenta, C. (2023). Introdução à Estatística. 4a Edição. Escolar Editora. Reis, E., Melo, P., Andrade, R., & Calapez, T. (2021). Estatística Aplicada (volume 1). 7a Edição. Edições Sílabo.
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