Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine

Statistical Analysis of Education Quality in Schools of Tomsk Oblast by Assessing Grades of Graduates from the 9th and 11th Classes

Authors
Yuliy Katsman, Sayat Temirbayev
Corresponding Author
Yuliy Katsman
Available Online May 2016.
DOI
https://doi.org/10.2991/itsmssm-16.2016.17How to use a DOI?
Keywords
Statistical analysis, knowledge monitoring, testing, scatter plot, sample characteristic, rank, median, factor
Abstract
The paper presents a statistical analysis of education quality of graduates from Tomsk Oblast schools on the basis of the Basic State Examination (BSE) in the Russian language and mathematics for the 9th grade and the corresponding grades for the Unified State Examination (USE) for the 11th grade. Using the analysis deliverables in concordance with suggested criteria, the rating of schools was proposed. The work also uses the methods of factor analysis to study the statistical significance of differences in the USE grades for pupils that stayed in current school or changed the school after the ninth class.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Information Technologies in Science, Management, Social Sphere and Medicine
Part of series
Advances in Computer Science Research
Publication Date
May 2016
ISBN
978-94-6252-196-4
ISSN
2352-538X
DOI
https://doi.org/10.2991/itsmssm-16.2016.17How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yuliy Katsman
AU  - Sayat Temirbayev
PY  - 2016/05
DA  - 2016/05
TI  - Statistical Analysis of Education Quality in Schools of Tomsk Oblast by Assessing Grades of Graduates from the 9th and 11th Classes
BT  - Information Technologies in Science, Management, Social Sphere and Medicine
PB  - Atlantis Press
SP  - 79
EP  - 82
SN  - 2352-538X
UR  - https://doi.org/10.2991/itsmssm-16.2016.17
DO  - https://doi.org/10.2991/itsmssm-16.2016.17
ID  - Katsman2016/05
ER  -