Aviso: Se está a ler esta mensagem,
provavelmente, o browser que utiliza não é
compatível com os "standards" recomendados pela W3C. Sugerimos vivamente que actualize
o seu browser para ter uma melhor experiência de
utilização deste "website". Mais
informações em webstandards.org.
Warning: If you are reading this message, probably,
your browser is not compliant with the standards recommended by the W3C. We suggest that you upgrade your
browser to enjoy a better user experience of this website. More
informations on webstandards.org.
Be English-friendly or any other language-friendly means that UC is taught in a language but can either of the
following conditions:
1. There are support materials in English / other language;
2. There are exercises, tests and exams in English / other language;
3. There is a possibility to present written or oral work in English / other language.
1
6.0
0.0 h/sem
20.0 h/sem
0.0 h/sem
0.0 h/sem
8.0 h/sem
0.0 h/sem
2.0 h/sem
30.0 h/sem
120.0 h/sem
0.0 h/sem
150.0 h/sem
Since year
2018/2019
Pre-requisites
None
Objectives
The main purpose of this course is to enable students to apply univariate and multivariate data analyses to real situations in business and institutional environments.
Program
1- Back to maths. 2- Descriptive statistics with applications. 3- Statistical inference with applications. 4- Correlation and simple linear regression. 5- Multiple linear regression model (MLRM).
Evaluation Method
The continuous evaluation includes the realization of:
1. An individual test (70%); 2. A team work (30%).
In this type of evaluation the students have to achieve a minimum grade of 10 in the individual test and of 10 in the team work. In the written assessment students can use a form, statistical tables and a calculator.
Teaching Method
In addition to strict compliance with the program regulation, the periodical evaluation method requires a minimum class attendance of 60% and: - An assignment (individual or in group) with a weight of 30%; - An individual test, with a weight of 70% and a minimum grade of 10 points. Alternatively, the final exam, similarly to phase two exams, will account for 100% of the final grade, disregarding the periodical assessment component.
Observations
-
Basic Bibliographic
Curto, José Dias (2016), Estatística, muitas aplicações em Excel e poucas fórmulas..., edição de Autor. Curto, José Dias e Gameiro, F. (2016), Excel para economia e gestão, 4ª ed., Ed. Sílabo.
Complementar Bibliographic
Pinto, J. & Curto, J. (2014), Estatística Aplicada à Economia e Gestão, 3ª edição, Ed. Sílabo. Wooldridge, J. (2013), Introductory Econometrics: A Modern Approach, 5th edition, Cengage Learning. Greene, W. (2011), Econometric Analysis, Prentice-Hall, Seventh edition.