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

Statystyka ekonomiczna - przedmiot oferowany w języku angielskim

Informacje ogólne

Kod przedmiotu: 330-ERA-1SE Kod Erasmus / ISCED: (brak danych) / (brak danych)
Nazwa przedmiotu: Statystyka ekonomiczna - przedmiot oferowany w języku angielskim
Jednostka: Wydział Ekonomii i Finansów
Grupy: 3L stac.studia ekonomiczne I st. - przedm.kierunkowe
WEiF lato Erasmus
Punkty ECTS i inne: 6.00
zobacz reguły punktacji
Język prowadzenia: angielski
Rodzaj przedmiotu:

obowiązkowe
podstawowe

Skrócony opis:

Distributions of numbers and frequencies of 1- and 2-dimensional variables and their classic, positional and mixed parameters. Stochastic

relations and their measures. Basics of time series analysis. Measures of dynamics, including individual and aggregate indexes.

Pełny opis:

Educational profile: general academic

Form of study: stationary

Course type: obligatory, 3L primary courses

Field and discipline of science:

field: economic sciences; discipline: economics

Year/semester: 1 year/2 semester

Prerequisites : Mathematics

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 - 15 hours

project-16 hours

preparation for the test - 25 hours

preparation for the exam and participation in the exam - 26 hours

The total student workload - 125 hours

Quantitative indicators

Student workload related to the course:

Number of hours / ECTS points

requiring direct teacher participation: 50/2

of a practical nature: 100/4

Literatura:

Z. Michna, Statistics, Publishing House of Wrocław University of Economics, Wroclaw 2014.

W. Mendenhall, R. J. Beaver, B. M. Beaver, Introduction to probability and statistics, Brooks/Cole, Belmont 2009.

D. L. Waller, Statistics for business, Elsevier, Amsterdam 2008.

J. T. McClave, P. G. Benson, T. Sincich, Statistics for Business and Economics , Prentice Hall International, New Jersey 2001.

Efekty uczenia się:

KNOWLEDGE

1STA_W01 Knows the methods of statistical description of one-dimensional empirical distribution (measures of central tendency,measures of dispersion, measures of skewness and concentration) - S1A_W11

1STA_W02 Knows the methods of statistical description of the relationship between two variables (construction of a correlation table,

measures of stochastic and correlation relationships) - S1A_W11

1STA_W03 Knows the methods of analyzing the development of the phenomenon in time (measures of dynamics, analysis of time series)-

S1A_W11

SKILLS

1STA_U01 Has the ability to choose the appropriate measure for the description of the selected aspect of one-dimensional empirical

distribution, the relationship between two variables as well as dynamics of phenomenon, and is able to interpret the measures of

descriptive statistics -S1A_U02

1STA_U02 Has basic skills of individual analysis and interpretation of quantitative phenomena and processes in various areas of

economic and social life (based on the general population) - S1A_U02

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.

Zajęcia w cyklu "Rok akademicki 2019/20" (zakończony)

Okres: 2019-10-01 - 2020-06-30
Wybrany podział planu:


powiększ
zobacz plan zajęć
Typ zajęć: Ćwiczenia, 30 godzin więcej informacji
Wykład, 15 godzin więcej informacji
Koordynatorzy: Emilia Jankowska-Ambroziak, Elżbieta Misiewicz
Prowadzący grup: Elżbieta Misiewicz
Lista studentów: (nie masz dostępu)
Zaliczenie: Zaliczenie na ocenę
Skrócony opis:

Distributions of numbers and frequencies of 1- and 2-dimensional variables and their classic, positional and mixed parameters. Stochastic

relations and their measures. Basics of time series analysis. Measures of dynamics, including individual indexes.

Pełny opis:

Educational profile: general academic

Form of study: stationary

Course type: obligatory, 3L primary courses

Field and discipline of science:

field: economic sciences; discipline: economics

Year/semester: 1 year/2 semester

Prerequisites : Mathematics

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 - 15 hours

project-16 hours

preparation for the test - 25 hours

preparation for the exam and participation in the exam - 26 hours

The total student workload - 125 hours

Quantitative indicators

Student workload related to the course:

Number of hours / ECTS points

requiring direct teacher participation: 50/2

of a practical nature: 100/4

Literatura:

Z. Michna, Statistics, Publishing House of Wrocław University of Economics, Wroclaw 2014.

W. Mendenhall, R. J. Beaver, B. M. Beaver, Introduction to probability and statistics, Brooks/Cole, Belmont 2009.

D. L. Waller, Statistics for business, Elsevier, Amsterdam 2008.

J. T. McClave, P. G. Benson, T. Sincich, Statistics for Business and Economics , Prentice Hall International, New Jersey 2001.

Opisy przedmiotów w USOS i USOSweb są chronione prawem autorskim.
Właścicielem praw autorskich jest Uniwersytet w Białymstoku.