Teaching Methodologies
Students are provided a theoretical support so that they can better follow the explanation of the subjects taught.
The clarification of questions is done in fixe schedule or in time to be arranged. The moodle platform is used in the transmission and organization of support to school materials as well as through interaction teacher / student and among students.
The continuous evaluation of knowledge is carried out based on two time points. The first test (T+TP) focuses on the chapters 1, 2 and 3 of the syllabus, the 2nd test (T+TP) will assess all the matter of the program. The final continuous evaluation is the weighted average of the two time points, and the weight of each test is 6 (1st test – 3T+3TP) and 14 (2nd test – 7T+7TP). The student cannot perform the 2nd test if you have obtained a minimum score of 7.5 points (0-20 points) in the 1st test. The student cannot be approved if his final grade, in at least one of the components, is less than 9 values
Learning Results
The student should acquire skills to understand the underlying applicability of the theoretical models used for statistical analysis as well as analyze and interpret the results obtained. Students should also be able to use the computer software SPSS to solve problems involving the concepts developed in the course.
The student should acquire the basic skills for conducting studies for quantitative analysis, also critical appreciation and proper interpretation of the results of an inferential study
Program
Chapter 1 – Descriptive Statistics (3 hours)
1 General Concepts
2 Descriptive Statistics
3. Introduction to statistical software SPSS (5 hours)
Chapter 2 – Hypothesis Testing (Statistical hypothesis, errors classification and significance levels of tests with
normal distribution, type tests)
Chapter 3 – Strategies for statistical treatment of the data
Chapter 4 – Parametric tests
1 Requirements for the use of parametric tests
2 Criteria of choice
3 Parametric Statistics
4. Correlation and Regression
Chapter 5 – Nonparametric Statistics
Chapter 6 – Quantitative analysis of data using SPSS
Internship(s)
NAO
Bibliography
1. A. GOUVEIA DE OLIVEIRA (2009). BIOESTATÍSTICA, EPIDEMIOLOGIA E INVESTIGAÇÃO – TEORIA E APLICAÇÕES, LIDEL.
2.CECÍLIA MOURA SILVA (1994). ESTATÍSTICA APLICADA À PSICOLOGIA E CIÊNCIAS SOCIAIS, MCGRAW-HILL.
3.GILDA CUNHA, Mª DO ROSÁRIO MARTINS, RICARDO SOUSA, FILIPA FERRAZ DE OLIVEIRA.(2007). ESTATÍSTICA APLICADA ÀS CIÊNCIAS E TECNOLOGIAS DA SAÚDE, LIDEL.
4. JOÃO MAROCO (2003). ANÁLISE ESTATÍSTICA COM UTILIZAÇÃO DO SPSS, EDIÇÕES SÍLABO.
5. PEDRO MARQUES VIDAL (2005). ESTATÍSTICA PRÁTICA PARA AS CIÊNCIAS DA SAÚDE, LIDEL