The purpose of studying the discipline is the formation of students' scientific understanding of the probabilistic laws of mass homogeneous random phenomena, as well as methods of collecting, systematizing and processing observation results in order to identify statistical patterns.
Discipline objectives:
- theoretical mastering by students of the basic concepts and methods of probability;
- the acquisition of practical skills for calculating the probability of random events, researching the laws of distribution of random variables and their numerical characteristics;
- teaching students methods of processing statistical information to assess the values ​​of parameters and test the significance of hypotheses.

The goal of mastering the discipline

The purpose of mastering the discipline: the formation of students' scientific understanding of random events and quantities, the methods of their research, as well as probabilistic and statistical thinking, which is necessary for successful research and analytical work in modern areas of socio-economic and management activities.

The skills you get

  • Knowledge of basic concepts, methods of collection, processing and analysis, tabular and graphical presentation of results, as well as presentation of conclusions; bases of construction, calculation and analysis of systems of statistical economic indicators;
  • Ability to obtain the necessary statistical information to complete the task, substantiate methods for analyzing statistical data, analyze and interpret business statistics data.
  • Skills in independent collection and analysis of information, thorough statistical analysis and effective presentation of results.

Topics covered

  • Basic concepts of probability
  • Repeated independent tests
  • Random variables
  • Sampling method
  • Statistical estimates of distribution parameters

When instructed

  • 2nd year, 1st semester

List of references and sourses

1. Hogg R.V., McKean J.W., Craig A.T. Introduction to Mathematical Statistics
2. Kremer N. Sh. Probability theory and mathematical statistics: a textbook for universities in economic specialties / N. Sh. Kremer, 2007. - 550.