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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Vydáno v:BMC medical research methodology Ročník 21; číslo 1; s. 1 - 5
Hlavní autor: Aslam, Muhammad
Médium: Journal Article
Jazyk:angličtina
Vydáno: London BioMed Central 30.09.2021
BioMed Central Ltd
Springer Nature B.V
BMC
Témata:
Cardiology
Chi-square test
Chi-square tests
Classical statistics
Count data
Data collection
Data entry
Fuzzy logic
Health Sciences
Heart rate
Hypotheses
Medical research
Medicine
Medicine & Public Health
Medicine, Experimental
Methods
Pulse count
Statistical Theory and Methods
Statistics
Statistics for Life Sciences
Theory of Medicine/Bioethics
Uncertainty
Saudi Arabia
Classical statistics
Uncertainty
Chi-square test
Count data
Pulse count
ISSN:1471-2288, 1471-2288
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Shrnutí: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