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Presentation
Presentation
The curricular unit Data Analysis I aims to introduce students to the fundamentals of statistics applied to Economics, Management, and Accounting. It focuses on the analysis and interpretation of data in decision-making contexts, developing essential skills in statistical literacy and quantitative reasoning. It reinforces scientific rigor and practical relevance in academic training, aligning with international guidelines (GAISE-American Statistical Association, OECD) for teaching statistics using digital tools. Its inclusion in the curriculum responds to the growing demand for analytical skills in professional profiles in these fields.
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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
ULP292-21709
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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: role in decision-making, basic concepts, and software (Jamovi). Descriptive Statistics: measures of central tendency, dispersion, and shape; graphical visualization. Probability and Distributions: probability, Bayes’ theorem, discrete (Binomial, Poisson) and continuous (Normal, t, Chi-square, F) distributions. Sampling and Sampling Distributions: sampling methods, Central Limit Theorem, simulations. Statistical Inference: point estimation and confidence intervals for means and proportions.
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Objectives
Objectives
Students should understand fundamental statistical concepts, apply basic descriptive and inferential techniques, and use statistical software (Jamovi) to organize, visualize, and interpret data. They are expected to develop skills in clearly communicating results and making decisions based on quantitative evidence. The course also fosters the ability to critically evaluate data, preparing students to apply statistical reasoning to real-world problems in the fields of Management.
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Teaching methodologies and assessment
Teaching methodologies and assessment
Active methodologies are adopted, based on problem-solving and the use of real data from the start of the course. The use of open-source statistical software (Jamovi) develops digital and analytical skills, fostering learning through experimentation and visualization. Students engage in practical assignments, simulations, reports, and group projects with continuous feedback. These approaches enhance motivation, critical thinking, and the ability to apply statistics in real decision-making contexts.
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References
References
Marôco, J. (2024). Fundamentos de Estatística . ReportNumber. Newbold, P., Carlson, W. L., & Thorne, B. M. (2019). Statistics for business and economics: Global edition (13rd ed.). Pearson. Danielle J. Navarro and David R. Foxcroft, Learning Statistics with jamovi: A Tutorial for Beginners in Statistical Analysis. Cambridge, UK: Open Book Publishers, 2025, https://doi.org/10.11647/OBP.0333
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Office Hours
Office Hours
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Mobility
Mobility
No
