| Code |
13123
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| Year |
1
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| Semester |
S2
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| ECTS Credits |
5
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| Workload |
TP(45H)
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| Scientific area |
Mathematics
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Entry requirements |
Notions of Descriptive Statistics
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Mode of delivery |
Face-to-face.
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Learning outcomes |
The student should be able to obtain a sample to carry out a project, describe the sample data, summarize the information by presenting it through graphs or numerical quantities. S/He will also be able to calculate probabilities. The student will be able to use the SPSS statistical package to conduct descriptive data analysis.
At the end of the course, the student should be able to:
- Understand and apply statistical methods used in the analysis of different types of data.
- Use computer programs to allow the statistical analysis of real data.
- Produce and organize the results of a statistical analysis of real data.
- Analyze and critique studies and/or articles in the area of Sociology, which are in accordance with the programmatic contents.
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Syllabus |
- Basics of Statistics
Distinction between population and sample
Sampling
Classification of variables and their measurement scales
- Inputting data into SPSS
-Frequency tables
Frequency tables of one-dimensional variables
Contingency table for two-dimensional variables
graphical representations
- Descriptive Measures
location measures
dispersion measures
Asymmetry and flatness measurements
Linear correlation
Scatter diagram
Pearson's Correlation Coefficient
-Brief introduction to Probability Theory
Algebra of events; properties
Definition of probability. Axioms. Laplace's Law
conditional probability
Independence
-Random variables (discrete and continuous)
distribution function
Probability function and probability density
Expected value of a random variable
Variance of a random variable
- Binomial Distribution
-Normal Distribution
Throughout the semester, the different subjects will be illustrated with the SPSS statistical software.
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Main Bibliography |
-Ferreira, Sandra S. (2023). Apontamentos de Análise de Dados Quantitativos. Departamento de Matemática, UBI.
-Maroco, J. (2007), Análise Estatística com a utilização do SPSS, Edições Silabo.
-Murteira, B., Ribeiro, C., Silva, J. e Pimenta, C. (2015), Introdução à Estatística – 3ª edição. Escolar Editora.
-Santos, C. (2010), Estatística Descritiva: Manual de autoaprendizagem - 2ª ed., Ed. Silabo.
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Teaching Methodologies and Assessment Criteria |
The evaluation of this UC will be done as follows: 4 knowledge assessment sheets, following a mixed model (multiple choice and written answer to questions), where students will show if they master the exposed mathematical concepts and if they have developed new ways of reasoning.
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Language |
Portuguese. Tutorial support is available in English.
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