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Presentation
Presentation
It is intended that students become familiar with the fundamental concepts of thinking, language, and statistical techniques. They should be able to recognize the usefulness and wide application of these methodologies in various contexts, particularly within their fields of study. Additionally, the goal is for students to develop skills in data analysis and acquire essential knowledge of probability theory and random variables. It is also aimed at enhancing their reasoning abilities to facilitate the approach and resolution of real-world problems within their areas of study or in different contexts.
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Class from course
Class from course
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Degree | Semesters | ECTS
Degree | Semesters | ECTS
Bachelor | Semestral | 6
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Year | Nature | Language
Year | Nature | Language
2 | Mandatory | Português
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Code
Code
ULHT172-979
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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
Introduction to statistics Exploratory Data analysis Introduction (sample, population) Unidimensional analysis Types of variables Frequency tables and graphic resolution Measures of locations Measures of dispersion Bidimensional analysis Scatter diagram The linear correlation coefficient Simple linear regression Probability Algebra of events Concepts of probability Axiomatic of Kolmogorov Conditional probability Independent events Random variables Functions of random variables Parameters of random variables
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Objectives
Objectives
Understand the concepts of Descriptive Statistics and Inductive Statistics, identify them and apply them in practical cases. Have knowledge about how to obtain, classify and analyze samples and how to do the respective statistical treatment. Internalize the concepts of algebra of events. Know the various concepts of probability and learn how to compute the probability of events. Identify the types of random variables and study them according to their type.
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Teaching methodologies and assessment
Teaching methodologies and assessment
In supporting the teaching and learning process of this Course Unit, the aim is to implement innovative methodologies that promote interactivity, active student engagement, and the effective use of technological resources. Accordingly, the Noodle Factory platform will be a central tool in this strategy, being used not only to provide supplementary content and educational resources but also to conduct quizzes, mini-tests, and other educational activities. Through this platform, it will be possible to control access to resources and monitor students' progress, facilitating a more personalized approach and enhancing formative assessment. The integration of digital activities allows for reinforcing the understanding of concepts covered in class, promoting autonomous study, and stimulating student participation in a more dynamic and interactive way. This ultimately contributes to a more innovative teaching approach, better adapted to current educational demands.
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References
References
Reis,E. (2019) Estatística descritiva, 7ª edição. Edições Sílabo Negas,E., Carreira, A. (2021) Estatística Descritiva - Explicação Teórica, Casos de Aplicações e Exercícios Resolvidos, 2º Edição. Edições Sílabo Murteira,B., Ribeiro,C.S., Silva,J.A., Pimenta,F. & Pimenta,C. (2015) Introdução à Estatística. Escolar editora Reis,E., Melo,P., Andrade,R. & Calpez,T. (2012) Estatística Aplicada, volume 1, 5ªedição. edições Sílabo Reis,E., Melo,P., Andrade,R. & Calpez,T. (2012) Exercícios de Estatística Aplicada, volume 1, 2ªedição. edições Sílabo
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Office Hours
Office Hours
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Mobility
Mobility
No