Teaching Methodologies
Directed individualized study: solving exercise types in worksheets
Learning Results
The purpose of this course is to promote, in the student that successfully completes it, the competencies listed below.
As a result of the learning process, the student:
1) Understand the language and notation statistics;
2) Covers the key concepts and the necessary methods for summarization and the interpretation of data;
3) develops and implements statistical tests and interprets the results;
4) Applies statistical techniques to support decision making.
Program
1. Descriptive statistics in one dimension.
2. Probability distributions.
3. Discrete and continuous random variables. Common discrete and continuous distributions.
4. Confidence interval for a parameter of a population.
5. Hypothesis testing for a parameter of a population.
6. Nonparametric tests. Conditions of applicability.
7. Simple linear regression. Multiple linear regression
Grading Methods
- - Written test - 100.0%
- - Written test - 100.0%
Internship(s)
NAO
Bibliography
R. Guimarães e J. Sarsfield Cabral, “Estatística”, McGraw-Hill, Lisboa (2007), 2ª ed.
B. Murteira, C.S. Silva, J.A. Silva e C.Pimenta, “Introdução à Estatística”, McGraw-Hill, Lisboa (2001).
D. Montgomery e G. Runger, “Applied Statistics and Probability for Engineers”, John Wiley
and Sons, Nova Iorque (2003).