STATISTICAL METHODS FOR EVALUATING EXPERIMENTAL DATA ON THE USE OF MATHEMATICAL COMPETENCIES IN STUDY FOR A RESILIENT ECONOMY

Main Article Content

DOI

Vira Petruk

petruk-va@ukr.net

http://orcid.org/0000-0001-7588-6721
Olena Prozor

prozor@vntu.edu.ua

http://orcid.org/0000-0003-1454-8352
Yuliia Sabadosh

avataric87@gmail.com

http://orcid.org/0000-0002-2850-1224
Iryna Baranovska

bdn993@gmail.com

http://orcid.org/0000-0003-0033-4425
Maksim Palii

paliymv@ukr.net

http://orcid.org/0000-0002-1113-6355
Yevheniia Moroz

morozeo@knu.ua

http://orcid.org/0000-0002-2618-3541
Saule Kumargazhanova

SKumargazhanova@gmail.com

http://orcid.org/0000-0002-6744-4023
Dinara Mussayeva

d_i_n_mus@mail.ru

http://orcid.org/0000-0002-8349-213X

Abstract

The description of the problems, solved within the statistics evaluation of the results of educational (pedagogical) experiment in resilient economy is given. Comparison of the two average samplings and hypothesis verification relative to dispersions of the two samplings are considered. It is shown the hypothesis that teaching and methodical training system of subjects of higher mathematics in technical universities, suggested on the base of the modern interactive technologies, significantly improves the quality of the base level of professional competence of future engineers. The methods for statistical processing of the obtained results, which very thoroughly research all the indexes which compose the suggested learning and methodical system for teaching higher mathematics in technical universities are used.

Keywords:

statistical methods, statistical analysis, abstract essence, elements of interaction, pedagogical experiment

References

Article Details

Petruk, V., Prozor, O., Sabadosh, Y., Baranovska, I., Palii, M., Moroz, Y., … Mussayeva, D. (2023). STATISTICAL METHODS FOR EVALUATING EXPERIMENTAL DATA ON THE USE OF MATHEMATICAL COMPETENCIES IN STUDY FOR A RESILIENT ECONOMY. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 13(2), 78–85. https://doi.org/10.35784/iapgos.3504