Statystyka opisowa-przedmiot oferowany w języku angielskim
Informacje ogólne
Kod przedmiotu: | 0300-MS1-1STA#E |
Kod Erasmus / ISCED: |
11.201
|
Nazwa przedmiotu: | Statystyka opisowa-przedmiot oferowany w języku angielskim |
Jednostka: | Wydział Ekonomii i Zarządzania |
Grupy: | |
Punkty ECTS i inne: |
(brak)
|
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 |
Tryb prowadzenia przedmiotu: | w sali |
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, M_2 primary courses Field and discipline of science: field: economic sciences; discipline: economics Year/semester: 1 year/2 semester Prerequisites : 0300-MS1-1MAT#E 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: 5 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 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: 84/3,4 |
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). M1_W06 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). M1_W06 1STA_W03 Knows the methods of analyzing the development of the phenomenon in time (measures of dynamics, analysis of time series). M1_W06 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. M1_U02, M1_U09 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). M1_U02, M1_U09 SOCIAL COMPETENCES 1STA Is able to individually expand knowledge and skills in descriptive statistics. K01 M1_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.