Chi-square test under indeterminacy: an application using pulse count data

Background The data obtained from the counting process is known as the count data. In practice, the counting can be done at the same time or the time of the count is not the same. To test either the K counts are differed significantly or not, the Chi-square test for K counts is applied. Results The...

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Bibliographic Details
Published in:BMC medical research methodology Vol. 21; no. 1; pp. 1 - 5
Main Author: Aslam, Muhammad
Format: Journal Article
Language:English
Published: London BioMed Central 30.09.2021
BioMed Central Ltd
Springer Nature B.V
BMC
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ISSN:1471-2288, 1471-2288
Online Access:Get full text
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Summary:Background The data obtained from the counting process is known as the count data. In practice, the counting can be done at the same time or the time of the count is not the same. To test either the K counts are differed significantly or not, the Chi-square test for K counts is applied. Results The paper presents the Chi-square tests for K counts under neutrosophic statistics. The test statistic of the proposed test when K counts are recorded at the same time and different time are proposed. The testing procedure of the proposed test is explained with the help of pulse count data. Conclusions From the analysis of pulse count data, it can be concluded that the proposed test suggests the cardiologists use different treatment methods on patients. In addition, the proposed test gives more information than the traditional test under uncertainty.
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ISSN:1471-2288
1471-2288
DOI:10.1186/s12874-021-01400-z