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When we compute some kind of statistical characteristic, the aggregate, this is called the POINT ESTIMATION of the general parameter. Because this characteristic is determined by one number, i.e. one point on the line. However, we know that if we choose randomly for another, we will get another average value. Now, how do we know the true value of this characteristic for the general population itself, if it is not possible to find it. Therefore, we find not one value, but the interval where the true value can be. This interval is called the confidence interval. It defines the lower and upper bounds of the true value. This interval is determined for each sample. Since we are talking about statistics, then every value has a probability. Our confidence interval also contains this characteristic of the general population with a certain probability. This term is also used here. In this context, it takes on a slightly different meaning. Here, this level shows the probability that the true value does not fall into our confidence interval. This level is