Statistics
Course: Economic analysis and statistics
Structural unit: Faculty of Economics
Title
Statistics
Code
1.12
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
3 Semester
Number of ECTS credits allocated
10
Learning outcomes
PLO3. Use analytical and methodological tools to understand the logic of economic decision-making by various economic agents (individuals, households, enterprises and public authorities).
PLO4. Use professional arguments to convey information, ideas, problems and ways to solve them to specialists and non-specialists in the field of economic activity.
PLO5. Explain the models of socio-economic phenomena, guided by the fundamental principles and knowledge of the main directions of development of economic science.
PLO9. To analyze the functioning and development of economic entities, to determine the functional areas, to calculate the relevant performance indicators of their activities.
Form of study
Prerequisites and co-requisites
1. Know: the theoretical foundations and nature of the formation of micro- and macroeconomic processes; theoretical principles of monetary policy formation, basics of linear algebra, differential and integral calculus, basics of probability theory and mathematical statistics, basics of programming.
2. Have: skills of differential and integral calculus, programming, working with Windows software, MS Excel, PowerPoint, use of Internet resources, electronic means of visualization of statistical data.
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, and also methods of estimation and analysis of 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 conformity of the empirical distribution to the theoretical, the significance of differences between means and particles in comparable sets, as well as variances, randomness of the relationship between traits; methods of analysis of development trends and seasonal fluctuations, index analysis.
Recommended or required reading and other learning resources/tools
Planned learning activities and teaching methods
The purpose of the discipline - the formation of students' theoretical knowledge and practical skills for quantitative assessment of socio-economic phenomena and processes, analysis of patterns of their formation and development. The educational task of the course is to study the basic methods and techniques of collecting, processing and analyzing statistical information.
Assessment methods and criteria
Forms of student assessment: (max. Points 60 / min. Points 36)
1. Participation in the discussion in laboratory classes; performing practical exercises, solving problems, developing and implementing a group project) - 10 points / 6 points
2. Modular test - 15 points / 9 points
3. Performing individual independent work - 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
Ihor
Honchar
Department of Statistics, Information and Analytical Systems and Demography
Faculty of Economics
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