5 ECTS; 1º Ano, 2º Semestre, 15,0 T + 30,0 TP + 15,0 OT , Cód. 90898.
Lecturer
- Luis Miguel Lindinho da Cunha Mendes Grilo (2)
(1) Docente Responsável
(2) Docente que lecciona
Prerequisites
Knowledge of Calculus and Algebra
Objectives
Students will be provided with the basics of some key statistics techniques and methodologies, 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 written tests); exam assessment (one written test).
Bibliography
- Gama, S. e Pedrosa, A. (2004). Introdução Computacional à Probabilidade e Estatística. Porto - Portugal: Porto Editora
- Guimarães, R. e Cabral, J. (2007). Estatística. Lisboa - Portugal: McGraw-Hill
Teaching Method
Lectures and tutorials including problem solving.
Software used in class
Excel and IBM SPSS.
