Blended learning technology in the study of descriptive characteristics of a statistical sample
Problemy fiziki, matematiki i tehniki, no. 3 (2023), pp. 88-94

Voir la notice de l'article provenant de la source Math-Net.Ru

A substantive description of blended learning is presented, the main elements of the blended learning model and methodology are noted: rotation, flipped class, individual plan, flexible model. The analysis of information and communication technologies and Internet resources with data sets for solving the problem of statistical data processing is performed. On an example of solving the problem of determining the descriptive characteristics of the statistical sample there is used programming language R with a set of libraries: WDI, xtable, openxlsx, psych, sm, ggplot2, tidyverse, dunn.test, rstatix, ggpubr. The implementation of parsing data from the World Bank's open data web resource (data.worldbank.org) is shown. The script in the programming language R for finding descriptive characteristics of the statistical sample is developed. The technology of using information and communication technology for the educational process in the study of statistical methods of data processing is proposed.
Keywords: blended learning, information and communication technology, parsing, R programming language, descriptive data sampling characteristics.
@article{PFMT_2023_3_a15,
     author = {O. M. Demidenko and A. I. Yakimov and E. A. Yakimov and K. G. Tishchenko},
     title = {Blended learning technology in the study of descriptive characteristics of a statistical sample},
     journal = {Problemy fiziki, matematiki i tehniki},
     pages = {88--94},
     publisher = {mathdoc},
     number = {3},
     year = {2023},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/PFMT_2023_3_a15/}
}
TY  - JOUR
AU  - O. M. Demidenko
AU  - A. I. Yakimov
AU  - E. A. Yakimov
AU  - K. G. Tishchenko
TI  - Blended learning technology in the study of descriptive characteristics of a statistical sample
JO  - Problemy fiziki, matematiki i tehniki
PY  - 2023
SP  - 88
EP  - 94
IS  - 3
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/PFMT_2023_3_a15/
LA  - ru
ID  - PFMT_2023_3_a15
ER  - 
%0 Journal Article
%A O. M. Demidenko
%A A. I. Yakimov
%A E. A. Yakimov
%A K. G. Tishchenko
%T Blended learning technology in the study of descriptive characteristics of a statistical sample
%J Problemy fiziki, matematiki i tehniki
%D 2023
%P 88-94
%N 3
%I mathdoc
%U http://geodesic.mathdoc.fr/item/PFMT_2023_3_a15/
%G ru
%F PFMT_2023_3_a15
O. M. Demidenko; A. I. Yakimov; E. A. Yakimov; K. G. Tishchenko. Blended learning technology in the study of descriptive characteristics of a statistical sample. Problemy fiziki, matematiki i tehniki, no. 3 (2023), pp. 88-94. http://geodesic.mathdoc.fr/item/PFMT_2023_3_a15/