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Presentation
Presentation
The main goal of the curricular unit is to introduce students to descriptive statistics, probabilities and random variables. The syllabus was chosen taking into account the course framework and the syllabus of other curricular units, so that students can continue their studies and develop their professional activity.
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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
1 | Mandatory | Português
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Code
Code
ULP608-979
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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
Descriptive statistics: Population and sample Parameters and statistics Variables and their classification Tables and graphics for univariate and bivariate data Descriptive measures Introduction to JASP Probabilities: Random experiment, sample space and events Probability: definition, interpretations and properties Conditional probability Independent events Bayes' theorem Random variables: Discrete random variables, probability function and distribution function Continuous random variables, density function and distribution function Models of discrete and continuous random variables
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Objectives
Objectives
To develop the ability to perform elementary statistical analysis of data, introcuding students to fundamental notions of descriptive statistics, probabilities and random variables. At the end of the curricular unit, student should be able to: - create a database, based on questionnaires, using statistical software - organize and summarize data - perform a descriptive analysis of a data set - solve problems involving the calculation of probabilities and random variables - carry out the procedures of the previous three points with and without statistical software - evaluate and criticize the performed analyzes
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Teaching methodologies and assessment
Teaching methodologies and assessment
The proposed teaching methodologies integrate a set of pedagogical innovation practices based on evidence and adjusted to the objectives and contents of the curricular unit. Classes will be of theoretical and practical nature, where the theoretical exposition of the syllabus is accompanied by the presentation of practical examples and problem solving, namely through statistical software, in individual or small group activities with teacher feedback. Students will be exposed to interactive educational resources, such as quizzes and the articulation with other curricular units, namely Quantitative Research Methods, will be evidenced. The evaluation is carried out taking into account the assessment regulation "Regulamento Geral de Avaliação da Universidade Lusófona" (see Avaliação - Instrumentos e Parâmetros de Avaliação).
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References
References
Guimarães, R. C., & Cabral, J. S. (2010). Estatística (2ª edição) . Lisboa: Verlag Dashöfer Portugal. Murteira, B., Ribeiro, C. S., Silva, J. A., & Pimenta, C. (2015). Introdução à Estatística (3ª edição) . Lisboa: Escolar Editora. Silva, E. G., Couto, C., Melo, S. B. de, & Neiva, E. R. (2023). Análises Estatiíticas com Jasp - Um Guia Introdutório . https://jasp-stats.org/wp-content/uploads/2023/04/v.2-Analises-Estatisticas-com-JASP-Um-Guia-Introdutorio.pdf
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Office Hours
Office Hours
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Mobility
Mobility
No
