Proceedings of the 2nd International Conference on Education Science and Social Development (ESSD 2019)

Basic Math Course for Bachelors – Statistical Analysis

Authors
Jindrich Klufa
Corresponding Author
Jindrich Klufa
Available Online July 2019.
DOI
10.2991/essd-19.2019.68How to use a DOI?
Keywords
bachelor exams, examiners, mathematics, statistical methods
Abstract

The results of the basic course Mathematics for Economist at the University of Economics in Prague in winter semester of the academic year 2017/2018 are statistical analysed in present paper. We shall study dependence of the results of examinations of 879 students in this course on the examiners (ten examiners took part in the examinations at this course). We shall use different statistical methods for the analysis (chi square test of independence in contingency table, analysis of variance, Scheffé‘s method etc.). The obtained results can be used for improving bachelor exams in mathematics at the department of mathematics in coming years.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Education Science and Social Development (ESSD 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
July 2019
ISBN
978-94-6252-758-4
ISSN
2352-5398
DOI
10.2991/essd-19.2019.68How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jindrich Klufa
PY  - 2019/07
DA  - 2019/07
TI  - Basic Math Course for Bachelors – Statistical Analysis
BT  - Proceedings of the 2nd International Conference on Education Science and Social Development (ESSD 2019)
PB  - Atlantis Press
SP  - 308
EP  - 311
SN  - 2352-5398
UR  - https://doi.org/10.2991/essd-19.2019.68
DO  - 10.2991/essd-19.2019.68
ID  - Klufa2019/07
ER  -