2024
Statistics Applied to Management II
Name: Statistics Applied to Management II
Code: MAT02329L
6 ECTS
Duration: 15 weeks/156 hours
Scientific Area:
Mathematics
Teaching languages: Portuguese
Languages of tutoring support: Portuguese
Regime de Frequência: Presencial
Presentation
It is expected that the student should be able to participate in carrying out statistical studies involving statistical treatment of data and interpretation of results, using statistical programs.
Sustainable Development Goals
Learning Goals
This subject aims to equip the student with the necessary instruments to analyze the statistical relationship between various quantitative variables, with the subject being aimed at concrete application to cases within the scope of Management and using statistical software.
The student must be able to:
• Identify relationships and associations between variables.
• Select the most appropriate regression model and learn model adjustment and validation techniques.
• Validate the assumptions of different parametric approaches.
• Recognize and know how to apply non-parametric alternatives when the assumptions are invalid.
• Select and apply appropriate statistical methods and models to obtain conclusions that assist decision-making at the most varied levels in contexts of uncertainty.
• Learn autonomously, encouraging adaptation to new situations.
• Develop critical thinking.
• Use statistical software correctly and rationally.
The student must be able to:
• Identify relationships and associations between variables.
• Select the most appropriate regression model and learn model adjustment and validation techniques.
• Validate the assumptions of different parametric approaches.
• Recognize and know how to apply non-parametric alternatives when the assumptions are invalid.
• Select and apply appropriate statistical methods and models to obtain conclusions that assist decision-making at the most varied levels in contexts of uncertainty.
• Learn autonomously, encouraging adaptation to new situations.
• Develop critical thinking.
• Use statistical software correctly and rationally.
Contents
1. Linear correlation analysis, univariate, linear and nonlinear regression model.
2. Multiple regression analysis. Assumptions Validation. Statistical significance of coefficients and global model assessment. Regression diagnostics. Graphical analysis of residuals.
3. Analyses of variance. One-Way analysis of variance. Validation of assumptions. Multiple comparisons. Two-way analysis of variance.
4. Non-parametric tests: Test of Chi-Square: adjustment and independence.
5. Statistical non-parametric tests for paired and independent samples.
2. Multiple regression analysis. Assumptions Validation. Statistical significance of coefficients and global model assessment. Regression diagnostics. Graphical analysis of residuals.
3. Analyses of variance. One-Way analysis of variance. Validation of assumptions. Multiple comparisons. Two-way analysis of variance.
4. Non-parametric tests: Test of Chi-Square: adjustment and independence.
5. Statistical non-parametric tests for paired and independent samples.
Teaching Methods
Theoretical-practical classes are predominantly taught on the board, with the support of e-learning tools and the use of slides.
Introduction of theoretical concepts using examples of direct application in the area of Management, seeking to show the relevance of the syllabus.
Exercises aimed at the area of Management, focusing on solving current and real problems, to develop a taste and interest in the discipline and show its usefulness.
Encourage students to make classes more dynamic through individual and group work in and at home.
Motivate students to go to and continue their work.
Focus on data interpretation and analysis, whenever possible using outputs from the software used.
Introduction of theoretical concepts using examples of direct application in the area of Management, seeking to show the relevance of the syllabus.
Exercises aimed at the area of Management, focusing on solving current and real problems, to develop a taste and interest in the discipline and show its usefulness.
Encourage students to make classes more dynamic through individual and group work in and at home.
Motivate students to go to and continue their work.
Focus on data interpretation and analysis, whenever possible using outputs from the software used.
Assessment
Continuous evaluation
• The continuous assessment regime consists of carrying out two tests.
• In each test, the student must have a grade greater than or equal to 8 values.
• The final grade will be the arithmetic mean of the grades obtained in the two frequencies.
• To pass the course, the final grade must be equal to or greater than 9.5 and have attended at least 75% of classes.
• If the student does not attend one of the tests, automatically opt for the Final Exam evaluation system.
Evaluation by Final Exam
• The evaluation system by Final Exam in Normal Season consists of making a call.
• The final grade in the Examination assessment system must be equal to or greater than 9.5, and the student must have attended at least 75% of classes to pass the curricular unit.
• The subject for evaluation will be all that is taught during the semester.
Appeal Exam
• If the student has not been approved, he/she may take an Appeal Exam.
• The continuous assessment regime consists of carrying out two tests.
• In each test, the student must have a grade greater than or equal to 8 values.
• The final grade will be the arithmetic mean of the grades obtained in the two frequencies.
• To pass the course, the final grade must be equal to or greater than 9.5 and have attended at least 75% of classes.
• If the student does not attend one of the tests, automatically opt for the Final Exam evaluation system.
Evaluation by Final Exam
• The evaluation system by Final Exam in Normal Season consists of making a call.
• The final grade in the Examination assessment system must be equal to or greater than 9.5, and the student must have attended at least 75% of classes to pass the curricular unit.
• The subject for evaluation will be all that is taught during the semester.
Appeal Exam
• If the student has not been approved, he/she may take an Appeal Exam.
Teaching Staff
- Dulce Gamito Santinhos Pereira [responsible]
Certificações
