Abstract
BackgroundThe 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.ResultsThe 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.ConclusionsFrom 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.
Highlights
The data obtained from the counting process is known as the count data
The Chi-square test for K counts under classical statistics is applied under the assumption that K counts are obtained under comparable conditions, see [1, 2]
A cardiologist is interested to see either the same treatment should be applied to all patients or not
Summary
The data obtained from the counting process is known as the count data. 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. The Chi-square test for K counts under classical statistics is applied under the assumption that K counts are obtained under comparable conditions, see [1, 2]. Worked on the test for testing two means of Poisson distribution [3–10] presented applications of test for count data in a variety of fields
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