SYLLABUS
Programme: Environmental Engineering
Title of course unit: Statistics
Year: 2nd
Semester: 1st
ECTS credits: 3,5
CNAEF area: 462
Student workload in hours
Contact
Total
Theoretical
Lectures
105
-
Theoreticalpractical
Lectures
45
Laboratory
Supervised
Classes
Field Work
-
-
Seminars
-
Placements
-
Autonomous
Tutorials
-
60
Summary
Statistics is a tool of great importance in many professional areas, being the basis for decisions making.
This course aims to provide a necessary theoretical background of the Probability and Statistical techniques and
methodologies, complemented with applications that allow the student to develop analysis and reasoning skills
which makes them capable to design and implement solutions to various problems they may encounter in the
exercise of their profession, use the proper tools to solve these problems and be able to interpret the results
Course Contents
Introdution to Statistics: Importance and goals of Statistics. Data analysis method steps.
Descriptive statistics: Data organization, classification and graphical representation; Measures of the location,
shape and dispersion. SPSS.
Probability theory: Event. Probability concept.Conditional probability. Independent events. Total probabilities
theorem and Bayes' theorem .
Random variables: Discrete and continuous random variables. Discrete distributions : Binomial and Poisson.
Continuous distributions: Normal . Central Limit Theorem
Statistical Inference: Confidence intervals. Hypotheses Testing.
Statistical data analysis using SPSS software. Applications.
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Recommended or required reading
Required:
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MAROCO, J. (2003). Análise Estatística – Com utilização do SPSS. Edições Sílabo: Lisboa.
GUIMARÃES, R. C. e CABRAL, J.A. (1998). Estatística. Editora McGraw-Hill de Portugal: Lisboa.
PESTANA, M.H. e GAGEIRO, J.N. (2000). Análise de Dados para Ciências Sociais – A complementaridade do
SPSS.Edições Sílabo: Lisboa.
SANTOS, C. (2010) Estatística Descritiva- Manual de auto-aprendizagem, Edições SILABO
Recommended:
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BARDIN, L. (2004). Análise de conteúdo. França: Edições 70.
CLEGG, F. (1995). Estatística para Todos. Editora Gradiva: Lisboa.
CUADRAS, C.M. (1995). Problemas de Probabilidades y Estadística. Editora EUB: Barcelona.
HILL, M. e HILL, A. (2002). Investigação por Questionário. Edições Sílabo: Lisboa.
MURTEIRA, B. (1995). Análise Exploratória de dados. Editora Edições Sílabo: Lisboa.
REIS, E. (1991). Estatística Descritiva. Edições Sílabo: Lisboa.
ROBALO, A. (1995). Estatística – Exercícios, Vol.II. Edições Sílabo: Lisboa.
SILVA, C.M. (1994). Estatística Aplicada à Psicologia e Ciência Sociais. Editora McGraw-Hill de Portugal:
Lisboa
RIBEIRO, J. L. P. (1999) Investigação e Avaliação em Psicologia e Saúde, Lisboa: Climepsi Editores
SILVA, C. M. (1994). Estatística Aplicada à Psicologia e Ciências Sociais. Lisboa: McGraw-Hill
Learning outcomes
1. Understand the statistical language and notation;
2. Apply the techniques of descriptive statistics in the analysis of a data set (Collect and organize data and interpret
results).
3. Develop working methods and select the appropriate statistical techniques.
4. Identify, in real situations, the theoretical distributions.
5. Apply the statistical inference techniques as a tool to support decision -making and interpreting the results.
6. Use computer applications as useful tools for research activity and professional innovation.
Planned learning activities and teaching methods
In classes, the teacher presents the concepts through slide show accompanied by oral discussion, always
complemented by examples presentation, discussion and resolution in the context of real-world situations,
particularly concerning to the professional field, which will enable the consolidation of basic concepts learning.
Furthermore, for each of the syllabus will be proposed to the students, exercises/problems resolution (individually
or in groups) using, wherever possible, SPSS software.
Contribution to the acquisition and development of specific skills 1
Fundamental:
Complementary:
Partial:
Assessment methods and criteria
Theoretical examination : two written tests (with concepts, exercises and problems) or a final exam (with
concepts, exercises and problems) .
1
See registration process sent to DGES.
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