Organization of Data and Statistical Analysis

Scholar Year: 2018/2019 - 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 5,50 Carla Guida Cardoso   3,50 Catarina Delgado   4,00

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 out in this UC will focus on the active participation of students in individual work or in group work. The classes will be organized taking into account the reading, discussion and analysis of texts, the resolution and discussion of problems, the use of computational tools in the organization and processing of data (namely Excel and SPSS) and the preparation of activities for the development of a statistical project.
The tutorial follow-up will mainly consist of the orientation of the project's development and the clarification of doubts about the themes 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

The students must: (a) participate in activities carried out in at least 2/3 of classes; (b) read, analyze and discuss proposed texts; (c) execute the requested evaluation products, evidencing with clarity and rigor the knowledge acquired; (d) to engages in the study / preparation for the different assessment activities.

The evaluation will focus on the work carried out throughout the CU. Will be taken into account: The participation of the students in the classes (10%); the completion of a statistical research project (40%) and a written test (50%).

Students who can not integrate into the continuous assessment system will take a final exam.

Attendance system

Students who participate in at least 2/3 of classroom sessions may include the system of continuous assessment.

Students with special statute, in the case that they are unable to attend classes, must negotiate with the teacher (in the first 15 days of classes) the way that will be done their evaluation, as well as the most convenient timetable for the development / delivery and delivery of the evaluation products, provided that the deadlines defined for each semester or year are respected.

Assement and Attendance registers

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.). Sao Paulo: Saraiva.

Sites:
http://alea-estp.ine.pt/
http://www.ine.pt/portal/