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
        
        
            2021/2022
        
    
            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
Departments
The following departments are involved in teaching the above discipline