Code for Course Work
https://www.matburo.ru/Examples/Files/ms_pg_3.pdf - here is an example of verification, but according to the Pearson criterion.Selections are obtained by the generation of pseudo-case numbers with a gauss (normal) distribution.You can take an average of 0 and dispersion 1, and you can experiment.A change in the average should not affect the result, and dispersion can somewhat modify the results, so, for example, from 1/4 to 10, you can select some values and make conclusions.You will need to generate a sampling of the same size (think 50 numbers) in a pseudo-casual way with the specified parameters.Then check them for normality and compare the conclusions of both criteria.Approximations will need to be added by 2 ways - first by built-in python tools, then on the basis of the book formula I downloaded - to compare the results of these 2 ways.Well, the most important thing is to compare the results of the 2 criteria.
Client's review of cooperation with Serhii Nikonov
Code for Course WorkFast and quality. I recommend to everyone
Freelancer's review of cooperation with Ivan Ivanov
Code for Course WorkEverything is fine, I recommend cooperation.
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Доброе утро.
У нас обычно проверяли Шапиро-Уилка для малых и Лилиефора и Колмогорова-Смирнова для больших.
Сроки и бюджет указаны верные?
С уважением, Сергей
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