Statistical Methods

Recommended Prerequisites

Basic knowledge of mathematics and statistics

Teaching Methods

The methodology includes lectures, using audiovisual means and practices in computer room. It will seek to promote an active and participatory learning, focusing on the interaction, in order to better understand the logic that predates the use of statistical tests.

Learning Outcomes

Large sets of data are currently collected to support and to guide the most successful decision-makers. This course will introduce students to the concepts, logic, and issues involved in statistical reasoning, as well as statistical methods used to analyze data and to evaluate studies. The major topics to be covered include methods for exploratory data analysis, methods for statistical inference, estimation, and hypothesis testing. The course covers simple and multiple regression, analysis of variance methods, and factor analysis. Other topics may include non-parametric methods, as time permits.

An important feature of the course will be the use of the computer and SPSS to facilitate the understanding of important statistical ideas and for the implementation of data analysis.

Work Placement(s)

No

Syllabus

- Thinking in statistical terms – The nature of the data, steps of a statistical study and experimental designs

- Univariate descriptive statistics – Organization and presentation of data, central location and dispersion indicators, coefficient of variation, skewness and kurtosis indicators.

- Bivariate statistics – Correlation and simple linear regression.

- Inferential statistics – Point estimation, confidence intervals and hypothesis tests. Inference about means and among means, analysis of variance, test of independence and chi-square test.

- Multivariate statistics – Principal components analysis and factor analysis.

- Non-parametric statistics – Test among two or more samples. 

- Data analysis in SPSS – Creation of database and data analysis.

Head Lecturer(s)

Óscar Manuel Domingos Lourenço

Assessment Methods

Assessment
A written work and correspondent presentation and discussion in the class: 100.0%

Bibliography

Lisboa JV, Augusto MG, Ferreira PL. Estatística aplicada à gestão. Porto: Vida Económica, 2012.

 

Maroco J. Análise estatística: com utilização do SPSS. Lisboa: Edições Sílabo, 2010.

 

Pestana MH, Gageiro JN. Análise de dados para ciências sociais, a complementaridade do SPSS. Lisboa: Edições Sílabo, 2008

 

Ferreira PL. Análise e tratamento de dados – Apontamentos e guiões para as aulas. Coimbra: FEUC, 2011.