Statistics WM-I-Z-S1-E4-STA
- https://e.uksw.edu.pl/course/view.php?id=55394 (term 2025/26_L)
- https://e.uksw.edu.pl/course/view.php?id=59525 (term 2026/27_L)
During the seminar, students are introduced to the fundamentals of descriptive and mathematical statistics: statistical variables and their measurement, the stages of a statistical study, the statistical description of the structure of univariate empirical distributions, the analysis of interdependencies, point estimation, interval estimation, and hypothesis testing.
Furthermore, they acquire knowledge regarding the assumptions and construction of statistical models and statistical inference, as well as the skills to apply them practically in other fields.
(in Polish) Dyscyplina naukowa, do której odnoszą się efekty uczenia się
(in Polish) E-Learning
Term 2025/26_L: (in Polish) E-Learning (pełny kurs) | Term 2026/27_L: (in Polish) E-Learning (pełny kurs) z podziałem na grupy |
(in Polish) Grupa przedmiotów ogólnouczenianych
Course coordinators
(in Polish) Opis nakładu pracy studenta w ECTS
Term 2025/26_L: Seminar - estimated student workload:
class attendance - 10 hours
study participation - 2 hours
consultations with the instructor - 3 hours
preparation for classes - 10 hours
preparation for the exam - 5 hours
total: 30 hours, which corresponds to 1 ECTS | Term 2026/27_L: SEMINAR
Class participation: 10 hours
Consultations: 1 hour
Preparation for classes: 2 hours
Preparation for course completion: 12 hours
Total: 25 hours
0.4 ECTS – direct contact with the instructor
0.6 ECTS – independent work |
Subject level
Learning outcome code/codes
Type of subject
Preliminary Requirements
Learning outcomes
Seminar:
Student
W1 – knows and understands the fundamental concepts and theorems of probabilistic methods and mathematical statistics (I1_W01)
W2 – knows the structure of statistical models and models for the quantitative description of simple probabilistic phenomena (I1_W03)
U1 – is able to apply mathematical knowledge to solve basic statistical problems: point and interval estimation and statistical hypothesis testing (I1_U02).
Assessment criteria
The following assessment criteria apply to all outcomes across all forms of verification:
grade 5: fully achieved (without discernible shortcomings),
grade 4.5: achieved almost fully, but the criteria for a higher grade are not met,
grade 4: achieved to a significant extent, but the criteria for a higher grade are not met,
grade 3.5: achieved to a significant extent—with a clear predominance of positive aspects—but the criteria for a higher grade are not met,
grade 3: achieved in the majority of cases covered by the verification, but the criteria for a higher grade are not met,
grade 2: not achieved in the majority of cases covered by the verification.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: