Base Knowledge
This curricular unit requires a basic knowledge of statistics, corresponding to the Statistics curricular unit(s) of an undergraduate degree.
Teaching Methodologies
The classes are designed, according to the curriculum plan, to be both theoretical and practical. In the theoretical part of the lesson, the interactive expository method will be frequently used to introduce concepts, fundamental results, and methods, in order to encourage active participation by all students. The practical part will be designed to problem-solving, with computer support, under the guidance of the teacher. The two parts will be interspersed in a sequence that optimizes the acquisition of skills.
Support materials are available on the Nonio platform.
Learning Results
This curricular unit aims to provide students with knowledge in the field of univariate, bivariate and multivariate statistical techniques for data analysis.
The student must be able to:
– perform univariate and multivariate exploratory analyses, using statistical software.
– select and apply different statistical techniques, in order to obtain results that support decision making in uncertain environments.
Program
1. Statistical Notes
1.1 Review of basic statistical concepts
1.2 Estimation and hypothesis testing
2. Multivariate Statistics
2.1 Factor analysis
2.2 Regression analysis
Curricular Unit Teachers
Internship(s)
NAO
Bibliography
Main Bibliography
Maroco, J. (2021). Análise Estatística com o SPSS Statistics. 8ª Edição, ReportNumber.
Alwan, L. C., Craig, B. A. and McCabe, G.P. (2020). The Practice of Statistics for Business and Economics, 5th Edition. Macmillan Learning.
Newbold, P., Carlson, W. and Thorne, B. (2019). Statistics for Business and Economics, 9th Edition. Pearson.
Complementary Bibliography
Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E. (2019). Multivariate Data Analysis, 8th Edition. Cengage.
Anderson, D.R., Sweeney, D.J. and Williams, T.A. (2000). Estatística Aplicada à Administração e Economia. Pioneira
Maroco, J. (2014). Análise de Equações Estruturais – Fundamentos teóricos, Software e Aplicações. Report Number
Hill, M., Hill. A. (2012). Investigação por questionário, 2.ª edição revista e corrigida. Edições Sílabo.