Class Analysing Data and Information in Practice

Statistical methods are a fundamental tool for analyzing and interpreting data.The UC provides a practical introduction to the statistical methods used in data analysis. Topics include notions of exploratory data analysis, statistical inference and regression analysis based on practical applications.

Descrição dos conteúdos

1. Introduction
2. Descriptive statistics with applications
   1. Basic concepts
   2. Types of data
   3. Summarizing data with frequency tables.
   4. Measures of central tendency
   5. Measures of dispersion
   6. Graphical representation
3. Statistical inference with applications
   1. Introduction
   2. Interval estimation
   3. Hypothesis testing
4. Correlation analysis and simple regression model
   1. Representation of bivariate data
   2. The linear correlation coefficient 
   3. Linear regression model
5. Introduction to multiple regression analysis.

Also include innovative methodologies to support the teaching-learning process used

• Levine, D., Stephan, D., Szabat, K. (2021). Statistics for Mangers Using Microsoft Excel, 9th edition, Pearson, ISBN 9780 135969854
• Reis, E., Melo, P., Andrade, R., Calapez, T. (2021). Estatística Aplicada - Volume 1, 7ª edição, Edições Sílabo, ISBN 9789895611867.
• Reis, E., Melo, P., Andrade, R., Calapez, T. (2019). Estatística Aplicada - Volume 2, 6ª edição. Edições Sílabo, ISBN 9789726189862.