Statistical analysis of relationships

Course: Economic analysis and statistics

Structural unit: Faculty of Economics

Title
Statistical analysis of relationships
Code
1.30
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
6 Semester
Number of ECTS credits allocated
5
Learning outcomes
PLO 3. Use analytical and methodological tools to understand the logic of economic decision-making by various economic agents (individuals, households, enterprises and public authorities). PLO 6. Apply appropriate economic-mathematical and statistical methods and models to solve economic problems. PLO 9. To analyze the functioning and development of economic entities, to determine the functional areas, to calculate the relevant performance indicators of their activities. PLO 11. Apply the acquired theoretical knowledge to solve practical problems and interpret the results. PLO 16. Demonstrate basic skills of creative and critical thinking during research and professional communication.
Form of study
Distance form
Prerequisites and co-requisites
1. Know the basics of modern economic theory, macro- and microeconomics, finance, sociology, econometrics and basic statistical disciplines; know general mathematical laws, probability theory and mathematical statistics, computer science and computer engineering; 2. Have the skills of statistical processing and visualization of data, methods of statistical analysis of patterns of formation and development of complex socio-economic phenomena and processes.
Course content
Statistical modeling methods are actively used in the modern world in all areas of practice, and statistical analysis of relationships has become an integral tool in ensuring sound management decisions at all levels of government. The discipline is aimed at mastering the methods of statistical measurement of the relationship of socio-economic phenomena, assessing the impact of factors in the formation and development of complex socio-economic systems and contains two content modules
Recommended or required reading and other learning resources/tools
Planned learning activities and teaching methods
The purpose of the discipline is to deepen the theoretical knowledge and practical skills of statistical analysis and evaluation of the relationships between socio-economic phenomena and processes. The educational task of the discipline is to master the methods of statistical analysis of patterns of formation of complex socio-economic phenomena and processes, acquiring skills in modeling relationships and justification of management decisions using applied computer programs implemented in the system of Statistics.
Assessment methods and criteria
Forms of student assessment: (max. Points 60 / minimum points 36): - performance of practical exercises during laboratory classes - 30 points / 18 points; - 2 control modular works - 10 points / 6 points; - preparation and presentation of an individual calculation and analytical project - 20 points / 12 points. - final assessment in the form of an exam
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Antonina Yerina
Department of Statistics, Information and Analytical Systems and Demography
Faculty of Economics

Departments

The following departments are involved in teaching the above discipline

Department of Statistics, Information and Analytical Systems and Demography
Faculty of Economics