Data Exploratory Analysis

Math A or Math B / Basic Notions on Statistics

Theoretical-practical classes, as stipulated in the curriculum.

• Theoretical component: exposition of concepts and resolution of illustrative examples.
• Practical component: resolution of illustrative and complementary practical exercises of the material exposed in theoretical classes, under the guidance of the teacher, but encouraging autonomous resolution. Sometimes using statistical software.

The aim of this subject is  to present a set of statistical techniques for analysing and interpreting data, using the SPSS statistical software.

Due to the inclusion of this subject in an MSc course, it is intended that the students develop practical knowledge and skills in SPSS to implement efficient analysis techniques to treat concrete problems.

1 – Basic Concepts

1.1. Introduction to SPSS

1.2. Review of Basic Statistics Concepts

1.3. Estimation and Hypothesis Testing

2 – Multivariate Statistics

2.1. Clusters analysis

2.2. Factorial analysis

3 – Econometric Models

3.1.Regression models

3.2. Extension of the regression models

NAO

It will be available at NONIO all the theoretical texts used in classes, as well as practical sheets.

Main: 

Keller, G. & Gaciu, N. (2016). Statistics for Management and Economics, 2nd edition. Cengage Learning EMEA

Newbold, P., Carlson, W. & Thorne, B. (2022). Statistics for Business and Economics, Global Edition, Pearson Education Limited

Marôco, J. (2021). Análise Estatística – Com Utilização do SPSS, 8ª edição, ReportNumber

Pestana, M.H. & Gageiro, J.N. (2014). Análise de dados para ciências sociais: a complementaridade do SPSS, 6.ª edição. Edições Sílabo

Webster, A.L. (2007). .Estatística aplicada à Administração e Economia. McGraw-Hill.

Supplementary:

Anderson, D.R., et al. (2011). Statistics for business and economics, South-Wester, Cengage Learning.

Hill, A. & Hill, M.M.. (2012). Investigação por questionário, 2ª edição. Edições Sílabo.