Statistical experiments

Course: Economic analysis and statistics

Structural unit: Faculty of Economics

Title
Statistical experiments
Code
1.4
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
1 Semester
Number of ECTS credits allocated
4
Learning outcomes
PLO4. Develop socio-economic projects and a system of integrated actions for their implementation, taking into account their objectives, expected socio-economic consequences, risks, legislative, resource and other constraints PLO7. Choose effective methods of economic activity management, substantiate the proposed solutions on the basis of relevant data and scientific and applied research PLO9. Make effective decisions under uncertain conditions and requirements that require the application of new approaches, methods and tools of socio-economic research PLO10. Apply modern information technologies and specialized software in socio-economic research and management of socio-economic systems
Form of study
Full-time form
Prerequisites and co-requisites
1. Know: the theory of methods of statistical analysis (disciplines: "Statistics", "Higher Mathematics for Economists", "Probability Theory and Mathematical Statistics"). 2. Possess: methods of organizing applied research.
Course content
The curriculum consists of two content modules: module - 1 "Simple experiments", which examines the essence of statistical experiments: types of experiments and their application in different fields. Scientific and applied experiments. Data collection and evaluation of the reliability of the original data. Experimental plans. Simple statistical experiments with a minimum of factors. . Module 2 - "Modeling of experiments", which reveals the limitations of experiments.
Recommended or required reading and other learning resources/tools
Planned learning activities and teaching methods
The purpose of the discipline - is to master the statistical methods of constructing scientific experiments. The educational task of the course is to study the main features of the application package Statistica in the preparation of experiments.
Assessment methods and criteria
Forms of student assessment: - semester assessment of 75 points maximum / 45 points minimum: 1. Participation in laboratory classes - 15 points / 9 points 2. 2 tests - each 20 points / 12 points 3. Execution of independent calculation and analytical work - 20 points / 12 points - final assessment in the form of a test:
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