Probability theory as a mathematical science studies models of events (not the events themselves) that are uncertain whether or not they will occur. In other words, probability theory studies models of experiments that are unpredictable. For example, when a coin is tossed with its coat of arms or number, it is possible to predict the weather, how much longer the unit is running, the faulty part of the mass-produced product, the situation that interferes with the transmission of electrical

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... s. can be considered as objects. Whether or not probability theory can be applied depends on whether the property of "stochastic stability" is appropriate for the experiment being studied. The latter notion, in turn, is related to the possibility of observing (conducting) the experiment under study many times under the same conditions (note the examples listed) and the probabilities of experiments that are difficult to observe. almost impossible to study using the theory. However, these views cannot be taken as a definition of "stochastic stagnation." In fact, one of the fundamental results of probability theory is the law of large numbers. To do this, we will limit ourselves to quoting the following concepts.