The purpose of this paper is to illustrate the importance of incorporating probabilistic methods into teaching modern statistics courses. Knowledge of statistical methods in today’s conditions implies the ability to predict, which unfortunately is not included in most statistics courses. Students are usually taught to work with data within the framework of absolute certainty, but in real life we often have to make decisions in conditions of uncertainty. The market economy requires the skills to not only process the available statistical information, but also to understand what conclusions can be drawn from the information received, and to know how to predict future events. In this regard, in modern statistics it is impossible to do without knowledge of probabilistic methods. This paper discusses an approach to calculating the main statistical indices using the concept of probability.

The purpose of this paper is to illustrate the importance of incorporating probabilistic methods into teaching modern statistics courses. Knowledge of statistical methods in today’s conditions implies the ability to predict, which unfortunately is not included in most statistics courses. Students are usually taught to work with data within the framework of absolute certainty, but in real life we often have to make decisions in conditions of uncertainty. The market economy requires the skills to not only process the available statistical information, but also to understand what conclusions can be drawn from the information received, and to know how to predict future events. In this regard, in modern statistics it is impossible to do without knowledge of probabilistic methods. This paper discusses an approach to calculating the main statistical indices using the concept of probability.