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

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

Educação de qualidade - Assegurar a educação inclusiva, e equitativa e de qualidade, e promover oportunidades de aprendizagem ao longo da vida para todos.

Learning Goals

The main objective of the curricular unit is to provide students with tools and silks necessary in quantitative research, including inferential methods for dealing with uncertainties in drawing conclusions from collected data, simple and multiple linear regression, parametric and non parametric one-way analysis of variance, two-way analysis of variance, multiple comparisons, and other selected topics non parametric topics. At the conclusion of the course it is expected that students will understand the nature of linear and non linear models, interpret statistical results obtained using a statistical package and will be prepared to critique results reported in scientific literature. All the techniques will be accomplished with the resolution of exercises related with management and economics.

1. Linear correlation analysis,univariate, linear and non linear regression model. Multiple regression analysis. Assumptions Validation. Statistical significance of coefficients and global model assessment. Regression diagnostics. Graphical analysis of residuals.
2. Analyses of variance. One-Way analysis of variance. Validation of assumptions. Multiple comparations. Two-way analysis of variance.
3. Non parametric tests: Test of Chi-Square: adjustment and independence . Statistical tests for paired and independent samples.

Teaching Methods

The methodology incorporates several innovative strategies for enhancing student motivation and performance. Learning techniques, such as the use of hands-on activities and cooperative learning assignments, are preferred, as they allow students to construct their own understanding of statistical concepts and applications by actively engaging the course material (projection of slides about statistical theory followed by the resolution of exercises). For each activity, it is also provided a summary of the critical procedural steps and a list of materials needed. In the exam regime the grade is based exclusively in the final examination. In the continuous evaluation regime the grade is based on results obtained in two tests. The weight of the first test is 50% and the weight of the second test is also 50%. The minimum value in each test must be equal to 8.

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.