Statistical Methods

Year
1

Academic year
2020-2021

Code
03016062

Subject Area
Decision Support Methods / Information Systems

Language of Instruction
Portuguese

Mode of Delivery
Face-to-face

ECTS Credits
8.0

Type
Elective

Level
3rd Cycle Studies

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

To know, understand and apply the components, and their relationships, of the three vertices of the triangle that constitutes the statistical work: Research Question, data and statistical models.

Work Placement(s)

Syllabus

• The three vertices of statistical work: Research question, data and statistical models,

• Reviews of concepts of statistical and mathematical statistics,

• The linear regression model,

• The factor analysis model,

• Introduction to Cluster Analysis,

• Use of Stata for data management and manipulation and model estimation.

Assessment Methods

Assessment
Periodic or by final exam as given in the course information : 100.0%

Bibliography

Afifi A, May S, Donatello R, Clark VA. Practical multivariate analysis. CRC Press; 2019.

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

Wooldridge JM. Introductory econometrics: A modern approach. Nelson Education; 2016.

Hair JF, Black WC, Babin BJ, Anderson RE, Tatham RL. Multivariate data analysis. Vol. 5. Prentice hall Upper Saddle River, NJ; 1998.

Baum CF, Christopher F. An introduction to modern econometrics using Stata. Stata press; 2006.