How to find us
|
Contacts

Statistical Models 2017/2018

  • 6 ECTS
  • Taught in Portuguese
  • Both continuous and final Assessment

Objectives

i. To analyze and interpret a whole set of data (using statistical software SPSS), based on the notions of Descriptive Statistics - Data Analysis learned.
ii. Knowing how to use the Probability Theory to perform statistical inferences (decision making) so that you can be able to solve problems of their own work area.
iii. Develop the critical sense and the ability to investigate in the Descriptive Statistics and in the Probability Theory.

Recommended Prerequisites

Basic knowledge of descriptive statistics and Probability Theory.

Teaching Metodology

The lecture, demonstrative and interrogative methods will be used. It is used the expository mode to teach the concepts of the course and also to present some examples of practical application. It is also used the demonstrative method to show how to use the statistical tool: SPSS software. It will be proposed exercises and practical applications of interest to solve by students individually or in small groups. Later it made the interpretation and critical analysis of the results. The practical applications include the use of SPSS software.

Body of Work

I) Descriptive Statistics: 1) Important concepts (data, Descriptive Statistics, population / sample, Statistical Inference, sampling procedures). 2) Frequency distributions and graphical representations. 3) Descriptive measures: location, position, dispersion, skewness and Kurtosis. 4) Correlation and Simple Regression.
II) Use of the software SPSS:
1) Initiate the SPSS; SPSS interfaces.2) Organize the data: creation of data files. 3) Transformation of the data: creation and codification of variables. 4) Statistic analysis of
the data: tables; descriptive measures; graphical representations; regression.
III) Theory of Probability:
1) Introduction: random experiences; sample space and events. 2) Concepts of Probability. 3) Conditional Probability. Theorems (compound probability, total probability and
Bayes). 4) Independent Events. 5) Discrete random variable: function of probability distribution function, the mean, variance and standard deviation.

Recommended Bibliography

~Guimarães, R. C. e Sarsfield Cabral, J. A. (2010) Estatística (2ª Edição), Verlag Dashofer.

Murteira, B., Ribeiro, C., Andrade e Silva, J., Pimenta, C. Pimenta, F. (2015). Introdução à Estatística (3ª edição). Escolar Editora.

Afonso, A. e Nunes, C. (2011) Estatística e Probabilidades - aplicações e soluções em SPSS, Escolar Editora.

Newbold, P.; Carlson, W. and Thorne B. (2013) Statistics for Business and Economics. Prentice-Hall – Pearson Education (International Edition).

Complementary Bibliography

Pereira, A., Patrício T.(2013) SPSS – Guia Prático de Utilização Análise de Dados para Ciências Sociais e Psicologia (8ª edição), Edições Sílabo.

Maroco, J. e Bispo, R. (2005). Estatística Aplicada às Ciências Sociais e humanas. Climepsi Editores.

Weekly Planning

Week 1.

Demonstration of the syllabus coherence with the curricular unit's objectives

The program contents selected are intended to consistently meet the objectives of learning. To the i) objective, contributing directly the topics I) and II) of the contents. Topic I)it allows the students to learn in a progressive the theoretical concepts of the Descriptive Statistics to analyze, reduce and interpret the statistical data. The topic II)
contributes to create practical skills by doing a practical work on which the students will have to use the statistical software called SPSS to analyze and interpret a set of data(quiz made by the students). The learning of the concepts of the Probability Theory, topic III) of the program, allow students to get a solid knowledge about this area and
contributes to the aim of making the students aware of the specific role of the Probability on making a decision (objective ii). Moreover, it also contributes to the objective iii)
by creating practical skills through the development of several exercises to develop a critical perspective.

Demonstration of the teaching methodologies coherence with the curricular unit's objectives

It is used the expository mode which will help to present the principal concepts.
The demonstrative method will be used so that the students can be aware of the principal features of the statistical software SPSS and for them to learn how to use in an effective way this tool in the development of the practical work. The resolution of practical exercises will be use to check students' ability to apply the knowledge learned during the theoretical classes in practical situations of real interest, but also allow the interpretation and critical analysis of the final results.

relevant generic skillimproved?assessed?
Achieving practical application of theoretical knowledgeYesYes
Adapting to new situationsYesYes
Analytical and synthetic skillsYesYes
Balanced decision makingYesYes
Commitment to effectivenessYesYes
Commitment to qualityYesYes
CreativityYes 
Ethical and responsible behaviour  
Event organization, planning and managementYesYes
Foreign language proficiency  
Information and learning managementYesYes
Initiative and entrepreneurship capabilityYesYes
IT and technology proficiencyYesYes
Problem Analysis and AssessmentYesYes
Problem-solvingYesYes
Relating to othersYesYes
Research skillsYesYes
Self-assessmentYesYes
TeamworkYesYes
Written and verbal communications skillsYesYes
This website uses cookies to provide better functionality and for performance measurements (European Union Directive 2009/136/EC)
Please take a few minutes do answer a few quick questions about our website.