Uniwersytet w Białymstoku - Centralny System UwierzytelnianiaNie jesteś zalogowany | zaloguj się
katalog przedmiotów - pomoc

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: 2L stac. II st. studia międzynarodowych stosunków gospodarczych - przedmioty obowiązkowe
Punkty ECTS i inne: (brak)
zobacz reguły punktacji
Język prowadzenia: angielski
Rodzaj przedmiotu:

obowiązkowe
podstawowe

Wymagania (lista przedmiotów):

Matematyka - przedmiot oferowany w języku angielskim 0300-MS1-1MAT#E
Statystyka opisowa-przedmiot oferowany w języku angielskim 0300-MS1-1STA#E

Założenia (lista przedmiotów):

Matematyka - przedmiot oferowany w języku angielskim 0300-MS1-1MAT#E
Statystyka opisowa-przedmiot oferowany w języku angielskim 0300-MS1-1STA#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.

Przedmiot nie jest oferowany w żadnym z aktualnych cykli dydaktycznych.
Opisy przedmiotów w USOS i USOSweb są chronione prawem autorskim.
Właścicielem praw autorskich jest Uniwersytet w Białymstoku.