Publication in the Diário da República: NI n.º1417|EAB|ESTT|2011
4.5 ECTS; 1º Ano, 2º Semestre, 30,0 T + 30,0 TP , Cód. 910012.
Lecturer
Prerequisites
Knowledge of Mathematical Analysis and Algebra
Objectives
Provide the students with the basics of some key techniques and methodologies of Statistics, mainly quantitative, so that they can design and implement solutions to different problems under uncertainty conditions.
Program
1 Probability (axioms and theorems), 2 discrete and continuous random variables; 3 Some theoretical probability distributions (discrete and continuous); 4 Sampling and sampling distributions (mean, variance and sample proportion) 5 Point and interval estimation parameters, 6 parametric hypothesis tests (mean, variance and population proportion); 7 Correlation and simple linear regression.
Evaluation Methodology
Written tests: continuous assessment(two intermediate tests); exam assessment (one written test).
Bibliography
- Pedrosa, A. e Gama, S. (2004). Introdução Computacional à Probabilidade e Estatística. Porto: Porto Editora
- Guimarães, R. e Cabral, J. (2007). Estatística.. Lisboa - Portugal: McGraw-Hill
Teaching Method
Lectures sypported by course handouts prepared by the lecturer.
Theoretical-Practical classes including problem solving.
Software used in class
