Statistics

Course: Economics (English/Ukrainian Taught)

Structural unit: Faculty of Economics

Title
Statistics
Code
ОК 11
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
1 Semester
Number of ECTS credits allocated
5
Learning outcomes
PLO 10. To analyze the functioning and development of economic entities, to identify functional areas, to calculate the relevant indicators that characterize the performance of their activities. PLO 12. To apply the acquired theoretical knowledge to solve practical problems and interpret the obtained results in a meaningful way. PLO 13. To identify sources and understand the methodology of determination and methods for obtaining socio-economic data, collect and analyze the necessary information, calculate economic and social indicators PLO 16. To be able to use data, provide argumentation, critically evaluate logic and draw conclusions from scientific and analytical texts on economics.
Form of study
Full-time form
Prerequisites and co-requisites
1. Know main categories and concepts of such subjects as: "Economic Theory", "Higher Mathematics for Economists", "Probability Theory and Mathematical Statistics". 2. Possess the basic methods and techniques of mathematical calculations, as well as have the skills to work in EXCEL
Course content
The curriculum consists of two content modules: module - 1 "Descriptive statistics", which examines statistical methods of collecting, registering mass data, its primary processing: systematization, grouping and regrouping, generalization and comparison using averages, absolute and relative frequency values, as well as methods of estimation and analysis of variation, differentiation, concentration and comparison of structures in time and space, module 2 - “Analytical statistics”, where the methods of correlation, regression and variation statistical analyzes are being examined
Recommended or required reading and other learning resources/tools
1. Leekley, R.M. / Applied Statistics for Business and Economics. Boca Raton, FL: CRC Press, 2010. ISBN: 978-1-4398-8281-8. 2. Newbold, P., Carlson, W., Thorne, B. / Statistics for Business and Economics, Global Edition. Harlow, UK: Pearson Education Limited, 2019. ISBN: 9781292315034. 3. Calin-Jageman, R., Cumming, G. / Introduction to the New Statistics: Estimation, Open Science, and Beyond. London, UK: Taylor & Francis, 2016. ISBN: 1138825522
Planned learning activities and teaching methods
Lecture, practice session, individual student’s self study, exam
Assessment methods and criteria
Semester evaluation: 1. Participation in practice sessions (reports, answers to theoretical questions, independent implementation of practical exercises) - 20 points / 12 points (RS 1.1-1.2; 2.1-2.3; 3.1-3.2). 2. 3 midterm exams (topics 1-5, 6-9, 10) - 30 points / 18 points each (RS 1.1-1.2; 2.1-2.3; 3.1-3.2). 3. Independent work - 10 points / 6 points (RS 1.1-1.2; 2.1-2.3; 3.1-3.2, 4.1-4.2). Final evaluation in the form of the exam Maximum score is 40 points, threshold score is 24 points. The exam is written, consists of theoretical answers and calculation tasks
Language of instruction
English

Lecturers

This discipline is taught by the following teachers

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