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Statistics I
Scholar Year: 2022/2023
| Code: |
LICFT040 |
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| Acronym: |
ESTI |
| Scientific area: |
Investigação e Estatística, Ciências Sociais e Humanas |
| Section/Department: |
Social and Human Sciences |
| Term: |
2nd Semester |
Courses
| Acronym |
N. of students |
Study Plan |
Curricular year |
ECTS |
Contact hours |
Total Time |
| LICFT |
57 |
|
3º |
2,0 |
30 |
54,0 |
Teaching language
Portuguese
Intended learning outcomes (Knowledges, skills and competencies to be developed by the students)
Goals:
. Theoretical understanding of descriptive and inferential statistics concepts;
. Using descriptive and inferential statistics methodologies in the study of specific research problems;
. Developing competences related to use of software IBM SPSS and applying it to analysis of quantitative data.
At the end of this course students are expect to:
Understand descriptive and inferential statistics concepts and to articulate them with specific research problems;
Apply descriptive and inferential statistics methodologies to the study of populations from sample data;
Develop skills related to the treatment and analysis of quantitative data with IBM SPSS software.
Syllabus
- Variables, populations and samples
- Descriptive statistics
Measures of central tendency, dispersion, asymmetry and kurtosis
- Introduction to IBM SPSS
Creation of data bases and exploratory data analysis
- Inferential Statistics
Theoretical distributions: normal, chi-square, t-student and binomial
Estimation theory: point estimation and interval estimation
Decison theory: Hypotheses testing, Type I and II errors, statistical power
Counts and proportions comparisons:
Binomial, chi-square and McNemar tests
Parametric tests for comparing independent samples:
Assumptions: Kolmogorov-Smirnov and Shapiro-Wilk, Levene
T-Student test for one population mean
T-Student test for two population means
Nonparametric tests for comparing independent samples:
Wilcoxon test for one population median
Wilcoxon-Mann-Whitney test
Association and correlation measures:
Cramer’s V and Phi association coefficients
Spearman and Pearson correlation coefficients
Demonstration of the syllabus coherence with the UC intended learning outcomes
In this course students are expected to develop basic theoretical knowledge and practical skills allowing them to understand and apply statistics concepts to physiotherapy research problems. Since this is the first approach to statistics in this degree program, the course begins by emphasizing theoretical concepts that will be the basis for any process of statistical analysis, namely variables, populations and samples, theoretical distributions, estimation and decision theories. Subsequently, a block of statistical tests is presented. The study of these statistical tests, which is complemented with the use of IBM SPSS software, allows for the analysis of specific physiotherapy research problems.
Teaching methodologies
Various teaching methodologies are used in this course, namely expository method by teachers, large group discussion about theoretical concepts and resolution of practical cases in small groups. The practical cases are solved in class with the aid of IBM SPSS software by taking into account the theoretical concepts. The solutions to the first practical cases are projected on screen as students try to solve them, so that they may follow more easily.
Demonstration of the teaching methodologies coherence with the curricular unit's intended learning outcomes
The teaching methodologies are articulated with the expected learning goals of this course in the following ways:
. To understand descriptive and inferential statistics concepts and to articulate them with specific research problems - expository method and large group discussion;
. To apply descriptive and inferential statistics methodologies to the study of populations from sample data - resolution of practical cases applied to concrete research problems in small groups;
. To develop skills related to the treatment and analysis of quantitative data with IBM SPSS software - application of IBM SPSS software tools in the resolution of practical cases applied to concrete research problems in small groups.
Various theoretical and practical methodologies are thus used in order to promote the students' acquisition of theoretical concepts as well as their application to specific physiotherapy research problems involving quantitative data analysis with IBM SPSS software.
Assessment methodologies and evidences
In this course students are exempt from sitting a final exam if they take a written test and get a grade equal to or higher than 10 during the evaluation taking place at the end of the module. If students fail in this evaluation, or if they miss it, they have the chance to take a written test in both periods of final exams.
Attendance system
Students must attend at least 80% of TP classes.
Software
IBM SPSS Statistics
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