Statistical Methods 2600-ABz1MSZUkf
1. Graphical presentation of data
2. Measures of tendency, dispersion, variability
3. Comparing data sets
4. Testing parametric hypotheses
5. Testing non-parametric hypotheses
6. Statistical inference - related to diploma theses
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Term 2025Z:
1. Graphical presentation of data |
Term 2026Z:
1. Graphical presentation of data |
Course coordinators
Type of course
Learning outcomes
• K_W01 – Knows and understands at a basic level the research methodology and terminology within the discipline of management and quality sciences, as well as in complementary disciplines (economics and finance, legal sciences), in particular the use of quantitative analysis tools.
• K_W03 – Knows and understands in an in-depth manner economic theories and models (in particular those constructed using analytical methods) regarding the functioning of a business organization.
• K_U02 – Is able to correctly interpret technological, social, political, legal, economic, and ecological processes and phenomena, and their impact on the functioning of organizations and the entire economy, applying the appropriate selection of calculation methods.
• K_K01 – Is ready to evaluate and critically approach situations and phenomena related to the functioning of an organization, a sector, and the entire economy using quantitative models.
Assessment criteria
During the semester, students are obliged to write one test consisting of open computational tasks; At least 60% of the points are required to pass.
Learning outcomes will be verified on an ongoing basis using the tasks performed by participants during classes and by assessing the results of the colloquium
Obtaining 60% of the maximum number of points from the test.
Practical placement
Internship is not required to complete the course.
Bibliography
Sobczyk M., Statystyka, PWN, Warszawa 2010 i dalsze wydania