id: 24816
Title: Nonparametric methods of statistics in the analysis of the results of the experiment
Authors: Naiko D. A.
Keywords: sample, parent population, random variable distribution, main hypothesis, alternative hypothesis, statistic criterion, Wilcoxon criterion, sign criterion, series criterion
Date of publication: 2020-05-13 12:06:15
Last changes: 2020-05-13 12:06:15
Year of publication: 2020
Summary: When analyzing experimental data, a number of important typical problems arise. These include, in particular, tasks such as checking the homogeneity of two numerical sets, checking the randomness of elements of an experimentally obtained numerical set, checking the independence of elements obtained experimentally with a numerical set, and the like. These problems are formulated in the form of statistical hypotheses. In this paper, we focus on the so-called non-parametric statistical methods of testing statistical hypotheses. In particular, methods such as the Wilcoxon method, the sign method, and the series method are considered. Sciences of Europe # 50, (2020) 11 The paper reveals the essence of these three criteria for testing statistical hypotheses. The relation of these criteria to the normal law of distribution of a random variable is shown. We support the theoretical schemes with specific examples, in particular, taken from our pedagogical experiment.
URI: http://81.30.162.23/repository/getfile.php/24816.pdf
Publication type: Статті у зарубіжних наукових фахових виданнях (Copernicus та інші)
Publication: Sciences of Europe. - 2020. - № 50, Vol. 4. - P. 10-18.
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Published by: Адміністратор
File : 24816.pdf Size : 745867 byte Format : Adobe PDF Access : For all
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