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Presentation
Presentation
The raison d'être of this curricular unit is to sensitize students to the importance of statistics (and quantitative methods). This is important for: - systematize large amounts of information - through statistical indicators (immediate interpretation). - describe and understand relationships between variables and identify the most important relationships to make better and faster decisions and make more informed judgments.
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Class from course
Class from course
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Degree | Semesters | ECTS
Degree | Semesters | ECTS
Bachelor | Semestral | 5
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Year | Nature | Language
Year | Nature | Language
2 | Mandatory | Português
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Code
Code
ULHT45-16968
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Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
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Professional Internship
Professional Internship
Não
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Syllabus
Syllabus
Contents Description:
1. Introduction: data types, notion of variable, types, operationalization, nature and measurement levels
2. Descriptive statistics: mean, median, mode, frequencies, percentage, skewness, kurtosis, range, interquartile ranges
3. Association between variables
4. Probabilities and significance levels,
5. Population and sample, types of samples
6. Parametric and non-parametric statistics
7. Chi-square tests
8. The statistical treatment of data with the IBM/SPSS package
9. Data interpretation
10. Presentation of statistics in reports
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Objectives
Objectives
At the end of this curricular unit students will: be able to identify the usefulness of quantitative methods, identify statistics and discuss their use and interpretation; operate the computer tools to process information and examine the relationship between variables.
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Teaching methodologies and assessment
Teaching methodologies and assessment
Involve students in research tasks aimed at preparing a poster.
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References
References
Reis, E. (2008). Estatística descritiva, 7ª ed. Lisboa: Edições Sílabo.
[ ISBN: 978-972-61847-68 ]
Marôco, J. (2018). Análise estatística com utilização do SPSS, 7ª ed. Pêro Pinheiro: ReportNumber.
[ ISBN: 978-989-96763-5-0 ]
Martins, C. (2011). Manual de análise de dados quantitativos com recurso ao IBM/SPSS. Braga: Edições Psiquilibrios.
[ ISBN: 978-989-8333-08-7 ]
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Office Hours
Office Hours
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Mobility
Mobility
No