Currently we see actively developing systems associated with distance learning, and such systems are based on new communication tools. They not only change the appearance of information space but also create special conditions for the formation of the modern distance learning system. The article describes requirements that must be established for an analyst teacher (a personality-technologist-analyst), whose training, in contrast to the training of a duty-holder teacher, comes to the fore, and who must be able to create technologies when adapting to new conditions of the constantly changing world, rather than to perform under pre-set technologies. The articles outline the substance of the creative method in teaching; it has been emphasized that teacher's activities are very close to those of an actor. Ways to resolve the issues of distance learning regarding acting as part of the teaching practice are outlined herein.
In the course of statistical processing of traffic flows characteristics data, the check for the presence of anomalous measurements in the sampling should be done at the very start of processing. If anomalous measurements are detected, they should be excluded from the sampling at an early stage of the processing and not taken into considerations in further calculations. Numerous criteria have been developed to detect outliers, their effectiveness depends on the sample size. In practice, for technical and economic reasons, it is impractical to obtain a large number of measurements, as a rule the sampling should be processed on the basis of limited number of observations. In this regard, methods for detection of outliers with a small number of measurements, which include the method based on the use of the Romanovsky criterion, are of great importance. However, the analysis of literary references showed that in some recently published studies it is not recommended to use the Romanovsky criterion with the number of measurements less than 20. Therefore, the purpose of this study is to test the power of the Romanovsky criterion (test) for a small number of measurements and the possibility of its application in samplings of small size (n ≤ 20). The conducted studies have shown that the power of the Romanovsky criterion is quite high and it has high reliability with a small number of measurements, which makes it possible to use it in small samples to detect anomalous measurements.
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