Univariate and Bivariate Data Analysis
Objectives
Students should acquire:
-Knowledge of the main methods of data organization, description and analysis
-Ability to apply methods of description and analysis of real data
-Ability to make interpretations of data produced
General characterization
Code
711081058
Credits
6.0
Responsible teacher
Inês Conceição Farinha Pereira
Hours
Weekly - 4
Total - 168
Teaching language
Portuguese
Prerequisites
Available soon
Bibliography
Barroso, M. et al. (2003). Exercícios de estatística descritiva para as ciências sociais. Lisboa: Sílabo.
Laureano, R.M.S. (2011). Testes de hipóteses com o SPSS: O meu manual de consulta rápida. Lisboa: Sílabo Pinto, R.R. (2009). Introdução à análise de dados com recurso ao SPSS. Lisboa: Sílabo.
Reis, E. (2009). Estatística Descritiva. Lisboa: Sílabo.
Teaching method
Theorerical lectures (50%); Practical exercises in class (50%)
Evaluation method
Método de avaliação - Term paper(40%), Written test in class(60%)
Subject matter
1. Introduction to Statistics and Data Analysis
2. Basic Data Analysis concepts
3. Quantitative methods of organization, description and analysis
3.0. Measure levels
3.1. How to organize information
3.2. Notion of probability and introduction to the calculus of probability
3.3. Univariate Statistics
3.4. Gaussian curve
3.5. Introduction to Index Numbers and Time Series Analysis
3.6. Introduction to bivariate statistics
Programs
Programs where the course is taught: