Criteria for checking the deviation of a distribution from a normal law. User Manual

The monograph discusses the application of statistical criteria focused on checking the hypothesis of the affiliation of the analyzed data by the normal law of probabilities. Special criteria, non -parametric consent criteria and criteria of the type X2 are considered and compared. The disadvantages and advantages of various criteria are indicated. Tables containing interest points and statistics distribution models necessary for the correct application of criteria are given.
Compared to the first edition, many considered special criteria of normality are significantly expanded. All many criteria are assigned by power relative to a number of close competing hypotheses, which facilitates the choice of the most preferred criteria. It is shown that in applications the properties of criteria can change significantly due to the presence of rounding errors and this must be taken into account when forming statistical conclusions.
Following the recommendations in the analysis of data will ensure the correctness of statistical conclusions and increase their validity.
It is designed for specialists who, to one degree or another, encounter in their activities with issues of statistical data analysis, processing the results of experiments, the application of statistical methods for the analysis of various aspects and trends of the surrounding reality. It will be useful to engineers, researchers, specialists of various profiles (doctors, biologists, sociologists, economists, etc), university teachers, graduate students and students.
2nd edition, processed and supplemented