Organization of Data and Statistical Analysis

Scholar Year: 2021/2022 - 2S

Courses

Head Teacher Responsability Catarina Raquel Santana Coutinho Alves Delgado Head

Weekly workload Hours/week T TP P PL L TC E OT OT/PL TPL O S Type of classes Lectures Type Teacher Classes Hours Contact hours Totals 1 8,00 Carla Guida Cardoso   6,00 Cristina Morais   1,86

Teaching language

Portuguese

Intended learning outcomes (Knowledges, skills and competencies to be developed by the students)

To identify, collect and select information, critically analyzing the credibility of data sources.
To know and apply statistical tools for analyzing and solving real problems.
To understand and critically reflect on contemporary world issues, mobilizing statistical tools.
To collect, select and analyze data in order to develop a project.
To Interpret and critically analyze theoretical and empirical data to problem solving and decision making, using
appropriate technological resources.
To use ICT and Mathematics to model real life problems.

Syllabus

Statistics:
- General ideas
- Sampling Techniques
- Organization and interpretation of statistical character
- Measures of central tendency and variation
- Two-dimensional Distributions
Probability:
- General ideas
- Definitions of probability
- Conditional Probability
- Independent events
- Probability models: binomial model and normal model.
Introduction to Statistical Inference

Demonstration of the syllabus coherence with the UC intended learning outcomes

In the context of information society it is very important to read, interpret and communicate information. To a future professional of sport it is essential to develop the ability to critically read and interpret studies that include quantitative methodologies and that contribute to their professional development. The organization of a statistical project, focused on data collection and data interpretation, is a key learning experience to future sports professional.

Teaching methodologies

The work to be carried in this UC will favor the involvement of students both in individual and group work. Classes will be organized taking into account the resolution and discussion of problems, the use of computational tools in the organization and treatment of data (namely Excel and SPSS) and the organization of the activities to prepare for the design of a project.
The tutorial accompaniment will consist mainly of guiding the development of the project and clarifying doubts about the topics under study.

Demonstration of the teaching methodologies coherence with the curricular unit's intended learning outcomes

Three levels of expected learning: a) mobilize fundamental concepts of Probability and Statistic to solve problems, (b) critically analyze statistic studies (c) apply and use critically the acquired knowledge to real life situations.Thus, the activities to be developed include: (i) reading and discussion of scientific and technical documents, (ii) exploration and critical analysis of relevant problems, (iii) seek out relevant information for the deepening of the contents of this curricular unit, (iv) development of a statistical investigation, allowing student involvement in the different phases of this process (data collection, processing and interpretation).

Assessment methodologies and evidences

Is expected that each student: (a) participate in synchronized sessions using the Zoom-Colibri platform; (b) carry out the proposed activities; (c) execute the requested evaluation products, clearly and rigorously evidencing the knowledge acquired.

The evaluation will focus on the work developed throughout the UC. It will take into account: The timely realization of four activities that include solving tasks made available to students in moodle (10%), the realization of a statistical research project (40%) and a written test (50%).

Students who are unable to integrate into the continuous assessment system will take a final exam.

Attendance system

Except those that have special regimes, students should participate in, at least, 75% of the classes. If not they have to do the final exam.
Students with special regimes should contact the teacher of the CU to discuss alternative ways of assessment.

Bibliography

Dinis Pestana, D. Velosa, S. (2010). Introdução à Probabilidade e à Estatística (4ª Ed.). Lisboa: Fundação Calouste Gulbenkian.
Elizabeth, R. (2008). Estatística Descritiva (7ª Ed). Lisboa: Edições Sílabo.
Figueiredo, F. (2009). Estatística Descritiva e Probabilidades: Exercícios propostos e resolvidos (2ª Ed) Lisboa: Escolar Editora.
Graça Martins, M. E., Loura, L., & Mendes, F. (2010). Análise de Dados. Lisboa: Editorial do Ministério da Educação.
Guimarães, R., & Cabral, J. (2010). Estatística. Lisboa: Editora McGraw-Hill de Portugal.
Marôco, J. (2018) Análise Estatística com o SPSS Statistics (7ª Ed.). Pêro Pinheiro: ReportNumber.
Murteira, B., Ribeiro, C. S., Silva, J. A., & Pimenta, C. (2010). Introdução à Estatística. Lisboa: Escolar Editora.
Santos, C. (2010). Estatística Descritiva: Manual de Auto-aprendizagem. Lisboa: Edições Sílabo.
Santos, F. (2001). Sebenta de Matemáticas Gerais - Estatística. Lisboa: Plátano Editora.
Bussab, W. O. & Morettin, P. A. (2017). Estatística Básica (9ª Ed.). São Paulo: Saraiva.


Sites:
https://www.fina.org/competition-results/18th-fina-world-championships-2019/swimming/event
http://alea-estp.ine.pt/
http://www.ine.pt/portal/
https://www.pordata.pt/