ISLA Santarém 27435

Statistics Applied to Marketing

• ApresentaçãoPresentation

    
• ProgramaProgramme

  1. Descriptive statistics: basic concepts: population, attribute, modalities and sample. Scales for measuring statistical data. Absolute and relative frequencies. Cumulative frequencies. Measures of central tendency. Measures of dispersion. Measures of asymmetry and kurtosis. 2. Probability theory: Basic concepts. Axioms of probability. Conditional probabilities. Independent events. Multiplicative and additive rules. 3. Random variables and probability distribution: Discrete random variables: probability function, distribution function. Absolutely continuous random variables: probability density function, distribution function. Mathematical expectation. Variance and standard deviation. Probability distribution: discrete and continuous. 4. Hypothesis testing: Formulation of null and alternative hypotheses. Significance level and statistical error. Parametric and non-parametric tests. Interpretation of p-value and statistical decision.
• ObjectivosObjectives

  O1. Provide students with the knowledge to analyse data using descriptive statistics methodologies. O2. To present the fundamental concepts of probability theory. O3. Provide students with knowledge of the language of probability and statistics. O4. Read and correctly interpret documents using basic statistical language. O5. Formulate practical problems and express practical situations using the language of probability theory and statistics. O6. Correctly read and interpret documents using probabilistic and statistical language. O7. Formulate practical problems and express practical situations using the language of probability theory and statistics. O8. Use statistical software and interpret the outputs resulting from the application of descriptive statistical methods.
• BibliografiaBibliography

  Marôco, João (2021). Análise Estatística com SPSS, ReportNumber. Schiefer, H., & Schiefer, F. (2021). Statistics for Engineers: An Introduction with Examples from Practice. Springer Nature. Devore, J. L., Berk, K. N., & Carlton, M. A. (2021). Modern mathematical statistics with applications. 3rd edition. New York: Springer. Rhinehart, R. R., & Bethea, R. M. (2022). Applied Engineering Statistics. CRC Press. Gupta, B. C., Guttman, I., & Jayalath, K. P. (2020). Statistics and probability with applications for engineers and scientists. Wiley.
• MetodologiaMethodology

  The teaching methodology combines synchronous online activities, in-person sessions, and independent study. The online sessions use lecture-based and active learning methods to present concepts, tools, and practical case studies, supplemented by hands-on exercises. In-person classes focus on solving and discussing exercises, promoting the application, analysis, and synthesis of knowledge using IBM SPSS, Jamovi, or JASP software. Independent study includes reviewing course content and solving additional exercises and problems assigned by the instructor. The instructor monitors student progress through tutorial guidance and feedback on completed exercises. Students can also use the Philix.ai virtual tutor as a supplementary resource to support their learning.
• LínguaLanguage

  Português
• TipoType

  Semestral
• ECTS

  5
• NaturezaNature

  Mandatory
• EstágioInternship

  Não
• AvaliaçãoEvaluation

  Avaliação Curricular (contínua):
  A1. Portfólio de exercícios resolvidos em aula presencial. Exercícios práticos de aplicação.
  A2. Teste intermédio - individual. Teste com componente de aplicação e componente escrita.
  A3. Teste final - individual. Teste com duas componentes: parte escrita e parte de aplicação prática.
  A classificação final é calculada através da fórmula Classificação Final = A1*0,2+ A2*0,4+A3*0,4.
  O estudante é aprovado se obtiver classificação igual ou superior a 9,5 valores.
  A classificação mínima na avaliação curricular (continua) a aplicar é a seguinte:- Portfólio de exercícios de aula: 10 valores- Teste intermédio: 6 valores- Teste final: 8 valores
  Avaliação Final ou em Época de Recurso e Especial (A): O estudante realiza o exame teórico-prático com componente prática (50%) e
  componente teórica (50%) (A=100%) e é aprovado se obtiver uma classificação igual ou superior a 9,5 valores em 20.