Organization of Data and Statistical Analysis

Scholar Year: 2017/2018 - 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   5,50

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
- Models of probability. 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 developed in this CU will focus on active student participation, whether in individual or in group
work, looking for the deepening of knowledge related to the topics of the program.
The tutorial support, individual support or group support consists in the orientation and organization of the student study to deepen the themes and answering questions posed by students and can be done in person or distance.

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 CU, (iv) development of an investigative project involving quantitative and qualitative variables.

Assessment methodologies and evidences

The evaluation will focus on the work done over the course unit and consists of: participation (10%); two individual written tests (45% each one).

Attendance system

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

Bibliography

Graça Martins, M. E. e Cerveira, A. (1998). Introdução às probabilidades e Estatística. Lisboa: Universidade aberta.
Graça Martins, M. E., Loura, L., Mendes, F. (2007). Análise de Dados. Lisboa: Editorial do Ministério da Educação.
Graça Martins, M. E., Monteiro, C., Viana, J. P., Turkman, M. A. A. (1997). Estatística: matemática – 10.º ano de
escolaridade. Lisboa: Departamento do Ensino Secundário do Ministério da Educação.
Guimarães, R., Cabral, J. (1997). Estatística. Lisboa: Editora McGraw-Hill de Portugal.
Levin, Jack.(1987). Estatística Aplicada às Ciências Humanas. São Paulo:
Lopes, Ana et al. (1990). Actividades Matemáticas na Sala de Aula. Lisboa: Texto Editora
Moore, David. (1991).Statistics: Concepts and Controversies. New York: Freeman.
Silva, J. Sebastião. (1975). Compêndio de Matemática, Lisboa: GEP.
Sites:
http://alea-estp.ine.pt/
http://www.ine.pt/portal/