Statistical data analysis

This curricular unit requires a basic knowledge of statistics, corresponding to the Statistics curricular unit(s) of an undergraduate degree.

Theoretical component: Interactive lecture. Questions to the students during the presentation.

Practical component: Problem based learning with computer support.

   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.

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

NAO

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.