Quantitative Methods for Management

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 course unit presents an overview of the main statistical techniques of data analysis, with emphasis on the fundamental concepts, conditions of application and interpretation of results. The initial data collection phase will also be covered, focusing on two important topics: sampling and questionnaires.

It is intended to develop in the student the ability to critically select and apply statistical methods to data analysis, which will support decision making. It is also intended that the student is able to implement quantitative analysis using statistical software (SPSS).

 

 

 

Program

1. Quantitative information

  1.1. Data collection: sampling and questionnaires

  1.2. Describing data: descriptive statistical techniques

2. Testing Hypotheses: statistical inference

  2.1. Confidence intervals

  2.2. Parametric tests

  2.3. Non parametric tests

3. Multivariate analysis 

  3.1. Factor analysis

  3.2. Regression analysis

Curricular Unit Teachers

Internship(s)

NAO

Bibliography

Main Bibliography

Newbold, P., Carlson, W.L. and Thorne, B.M. (2020). Statistics for Business and Economics, 9th edition. Pearson.

Marôco, J. (2021). Análise Estatística com o SPSS Statistics, 8.ª edição. ReportNumber.

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

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

Slides produced by the professor.

Complementary Bibliography

Alwan, L.C., Craig, B.A., & McCabe, G.P. (2020). The Practice of Statistics for Business and Economics, 5th Edition. MacMilan. 

Tintle,N. et al. (2020). Intermediate Statistical Investigations, 1st edition, Wiley.