Statystyka matematyczna-przedmiot oferowany w języku angielskim
Informacje ogólne
Kod przedmiotu: | 0300-MS2-1STM#E |
Kod Erasmus / ISCED: | (brak danych) / (brak danych) |
Nazwa przedmiotu: | Statystyka matematyczna-przedmiot oferowany w języku angielskim |
Jednostka: | Zakład Polityki Regionalnej i Zarządzania Projektami |
Grupy: | |
Punkty ECTS i inne: |
(brak)
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Język prowadzenia: | angielski |
Rodzaj przedmiotu: | obowiązkowe |
Wymagania (lista przedmiotów): | Matematyka - przedmiot oferowany w języku angielskim 0300-MS1-1MAT#E |
Założenia (lista przedmiotów): | Matematyka - przedmiot oferowany w języku angielskim 0300-MS1-1MAT#E |
Założenia (opisowo): | Mathematics in the field of: differential and integral calculus of functions of one variable; linear algebra Probability theory: secondary school level; Descriptive statistics in the field of: structure analysis (average measures, variability, asymmetry), analysis of relationships between variables. |
Tryb prowadzenia przedmiotu: | w sali |
Skrócony opis: |
Developing knowledge and skills in the field of designing and conducting statistical surveys in accordance with statistical inference standards. After completing the course, students should have a basic knowledge of statistical inference methods and the ability to apply these methods in practice. Elements of probability theory: discrete and continuous variables, probability distributions, joint, boundary and conditional distributions. Simple random sample, elements of point and interval estimation theory and hypothesis verification. |
Pełny opis: |
Educational profile: general academic Form of study: stationary Course type: obligatory, primary course Field and discipline of science: field: mathematical sciences; discipline: mathematics Year/semester: 1 year/1 semester Prerequisites: 0300-MS1-1MAT#E Mathematics, 0300-MS1-1STA#E Economic Statistics Number of didactic hours: 15 hours - lecture, 30 hours - classes Teaching methods: Traditional lecture conducted with the use of multimedia presentations, practical and activating methods (individual work, group work) The general form of passing the course: passing classes + exam ESTS points: 6 Student workload balance: participation in lectures - 15 hours participation in classes - 30 hours participation in consultations hours - 4 hours doing homework - 10 hours preparation for classes - 36 hours preparation for the test - 25 hours preparation for the exam and participation in the exam - 30 hours The total student workload - 150 hours Quantitative indicators Student workload related to the course: Number of hours / ECTS points requiring direct teacher participation: 50/2 of a practical nature: 105/4,2 |
Literatura: |
Ostasiewicz K. A., Mathematical statistics, Publishing House of Wrocław University of Economics, Wrocław 2014. Michna Z., Statistics, Publishing House of Wrocław University of Economics, Wroclaw 2014. |
Efekty uczenia się: |
KNOWLEDGE 1STM_W01: Knows the concept, properties, basic parameters and selected distributions of random varaible. M2_W06 1STM_W02: Knows the distribution of basic statistics from the sample, point and interval estimation methods, and selected significance tests. M2_W06 SKILLS 1STM_U01: Is able to design and conduct statistical research in accordance with statistical inference standards. M2_U04 1STM_U02: Is able to interpret results and infer about the population based on results from a random sample. M2_U04 SOCIAL COMPETENCE 1STM_K01: Is able to individually expand knowledge and skills in mathematical statistics. M2_K06 |
Metody i kryteria oceniania: |
The condition of passing the course is to achieve assumed learning outcomes. Assessment methods of lectures: written or oral exam. Students who have completed the classes are allowed to take the exam. Assessment methods of classes: test and activity during the classes. Leaving the student more than 4 hours qualify to fail the subject. Completing the absences takes place during the teacher's consultation hours. |
Właścicielem praw autorskich jest Uniwersytet w Białymstoku.