Statistics

Preliminary data analysis and graphical representation.

In order to achieve the objectives of the curricular unit and conference of the competencies provided to the student, the learning process is based on the study of cases, accompanied by a set of instructions and statistical/computer tools that lead the student to analyze each case and draw conclusions; in the execution of practical work of applying theoretical concepts; in the bibliographic research necessary to complement the information obtained in the classes.

The objective of this curricular unit is to promote, in the student who successfully completes it, the skills that are listed below.
As a result of the learning process, the student:
1) Understands statistical language and notation;
2) Addresses the main concepts and methods necessary for sumarization and interpretation of data;
3) Prepares and executes statistical tests and interprets the results;
4) Applies appropriate statistical techniques to support the decision-making process.

Module 1 (60%):

1. Descriptive statistics.

2. Probability distributions. Discrete and continuous one-dimensional random variables. Common distributions: discrete and continuous.

3. Confidence interval and hypothesis tests for a parameter of a population.

Module 2 (40%):

4. Analysis of variance. Nonparametric tests.

5. Simple linear regression.

• - Written test - 100.0%

• - Written test - 100.0%

NAO

Murteira, B., Ribeiro, C., Silva, J., & Pimenta, F. (2015). Introdução à Estatística. Escolar Editora.

Guimarães, R., & Sarsfield Cabral, J. (2010). Estatística. Verlag Dashofer.

Reis, E., Melo, P., Andrade, R., & Calapez T. (2015). Estatística Aplicada, vol. 1. Edições Sílabo.

Reis, E., Melo, P., Andrade, R., & Calapez T. (2016). Estatística Aplicada, vol. 2. Edições Sílabo.

Pestana, D., & Velosa S. (2010). Introdução à Probabilidade e à Estatística, Vol. I. Lisboa: Fundação Calouste Gulbenkian.