Statistics

Course: Economic Cybernetics

Structural unit: Faculty of Economics

Title
Statistics
Code
ОК 17
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
4 Semester
Number of ECTS credits allocated
5
Learning outcomes
PLO4. Understand the principles of economics, features of economic systems. PLO16. Be able to use data, provide arguments, critically evaluate logic and draw conclusions from scientific and analytical texts on economics. PLO21. Be able to think abstractly, apply analysis and synthesis to identify key characteristics of economic systems at different levels, as well as the behavior of their subjects. PLO22. Demonstrate flexibility and adaptability in new situations, in working with new objects, and in uncertain conditions. PLO28. Interpret and manage economic data, find information about the generation, structure and meaning of economic data, analyze data sources.
Form of study
Full-time form
Prerequisites and co-requisites
Know the methods of analysis in the disciplines: "Higher Mathematics for Economists", "Probability Theory and Mathematical Statistics". Be able to use software for processing large amounts of data and problem-oriented application packages.
Course content
The curriculum consists of two content modules: module - 1 "Descriptive Statistics", which examines statistical methods of collection, registration of mass data, their primary processing: systematization, grouping and regrouping, generalization and comparison using averages, absolute and relative values, as well as methods for estimating and analyzing variation, differentiation, concentration and comparison of structures in time and space, module 2 - "Analytical Statistics", which reveals methods for testing statistical hypotheses on: characteristics of the sample, the empirical distribution of theoretical comparable aggregates, as well as variances, randomness of the relationship between the signs; methods of analysis of development trends and seasonal fluctuations, index analysis.
Recommended or required reading and other learning resources/tools
1. Erik Lindström, Henrik Madsen, Jan Nygaard Nielsen. Statistics for Finance: Chapman and Hall/CRC, 2020. 384 р. 2. Perumal Mariappan. Statistics for Business: Chapman and Hall/CRC, 2019. 372 р. 3. Кушнір Н.Б., Кузнєцова Т. В., Красовська Ю. В. Статистика: Навч. посіб./Н.Б. Кушнір, Т.В.Кузнєцова та ін. – К.: Центр навчальної літератури, 2019. – 208 с. 4. Мармоза А.Т. Практикум з теорії статистики і сільськогосподарської статистики: Навч. посіб. /А.Т. Мармоза. – К.: Центр навчальної літератури, 2019. – 664 с. 5. Єріна А.М., Пальян З.О. Статистика: підручник /А.М.Єріна, З.О.Пальян. – К: КНЕУ, 2010. – 351 с. 6. Єріна А.М., Пальян З.О. Теорія статистики: практикум /А.М.Єріна, З.О.Пальян.– 6-те вид., стер .– К: Товариство “Знання”, 2008. – 255 с.
Planned learning activities and teaching methods
Lecture, practical lesson, independent work
Assessment methods and criteria
1. Participation in practical classes (speeches, practical exercises) - 15 points / 9 points (PLO 4, 16, 21, 22, 28). 2. 2 tests (topics 1-5 and 6-9) - each 30 points / 18 points (PLO 4, 16, 21, 22, 28). - final evaluation: maximum score of 25 points, boundary score - 15 points. The test takes place in writing, consists of theoretical answers, tests, calculation task.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Departments

The following departments are involved in teaching the above discipline