Discipline details

Course details

Recommended Prior Knowledge

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Objectives

Students should be able to apply statistical description methods, including both univariate and bivariate analysis, in common engineering applications.
Teaching Methods

The teacher uses theory-practical lessons. Cooperative classroom. Active Learning in the form of written and oral activities carried out individually, in pairs or larger groups during class-time
Internship(s)

Não
Syllabus

Univariates Descriptive Statistics Review Exploratory data analysis. Discrete and continuous data; Frequency tables; Measures of location, variability, skewness and kurtosis; Graphs: pie, bar, histogram, stem-and-lead and boxplots; Outliers. Probability Calculus : Sample space, events. Event probability; Additives rules. Conditional probability. Multiplicative rules; Bayes’ rule and Bayes’ theorem. Random variables and probability distributions : Some discrete distributions: uniform, binomial, poisson and hypergeometric; Some continuous distributions: uniform, normal, chi-squared and t-student. Bivariate Statistical: Simple linear regression and data plots. Least squares estimators; Correlations coefficients: Pearson, Spearman and bi-serial point; Coefficient of association: Phi and Cramer. Inferential Statistics :Point and interval estimation for unknown population parameter; Confidence intervals for population mean.
Content Explanation

The various techniques of data analysis that a student should be able to manipulate on completing the curriculum unit are included in the syllabus.
Methodology Explanation

The teaching methodology, opted on problem solving, and whenever possible, with real situations, in order to prepare students for any situation.
Responsible Lecturer(s)

Anabela de Fátima Domingues Cardoso Marques - 2.º Semester
Bibliography

Guimarães, R. Campos e Cabral, J.A Sarsfield; Estatística, McGraw-Hill, 1999
Galvão de Mello; Probabilidades e Estatística, Escolar Editora, 2000
Lopes, A.; Probabilidades e Estatística, Reichmann & Afonso Editores, 2000
Hainant, L.; Conceitos e Métodos Estatísticos , Vol.1 e 2, Gulbenkian, 1997
Murteira, B. et al.; Introdução à Estatística, McGraw-Hill, 2002
Maroco, J.; Análise estatística – com utilização do SPSS (3ª Edição), Edições Sílabo, 2007
Daniel, W. W.; Biostatistics: A Foundation for Analysis in the Health Sciences., John Wiley & Sons, Inc., 1999