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Publikační činnost
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Record type:
stať ve sborníku (D)
Home Department:
Katedra matematiky s didaktikou (45110)
Title:
Chi-Squared Test Particularly Modified by Paired Test
Citace
Barot, T., Kostolányová, K., Šimonová, I., Javorčík, T., Krpec, R. a Kubalčík, M. Chi-Squared Test Particularly Modified by Paired Test.
In:
8th International Conference on Computational Methods in Systems and Software: Lecture Notes in Networks and Systems 2025 Zlín.
Springer, 2026. s. 377-382. ISBN 978-303194769-8.
Subtitle
Publication year:
2026
Obor:
Number of pages:
5
Page from:
377
Page to:
382
Form of publication:
Elektronická verze
ISBN code:
978-303194769-8
ISSN code:
2367-3370
Proceedings title:
Lecture Notes in Networks and Systems
Proceedings:
Mezinárodní
Publisher name:
Springer
Place of publishing:
neuvedeno
Country of Publication:
Sborník vydaný v zahraničí
Název konference:
8th International Conference on Computational Methods in Systems and Software
Conference venue:
Zlín
Datum zahájení konference:
Typ akce podle státní
příslušnosti účastníků:
Celosvětová akce
WoS code:
EID:
2-s2.0-105012358919
Key words in English:
Chi-Squared Test; Contingency Tables; Paired Test; Quantitative Research; Wilcoxon Paired Test
Annotation in original language:
In some cases, the statistical methods have limits, which has been brought problems with their computations. In this paper, the Chi-squared test is discussed with its limitations. The Chi-squared test is being computed by two default tables – the table of the empirical and theoretical frequencies. In case of fulfilling similarities, the zero hypothesis is failed to be rejected. In the opposite case, the zero hypothesis is rejected in favor of the alternative hypothesis. The two categorical variables are considered. The limitations based on the Chi-squared test usually have implicated the Fisher exact test, which is computationally difficult. In this paper, the situation is declared as view on the problem as the paired comparison using by the Wilcoxon or T paired test according to the normality testing.
Annotation in english language:
References
Reference
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