Data analysis for sequential contingencies under uncertainty

The existing Z-test for comparing sequential contingencies under classical statistics can be implemented only in the presence of certain frequencies, and the level of significance. The existing Z-test for comparing sequential contingencies cannot be applied when uncertainty/indeterminacy is found in...

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Bibliographic Details
Published in:	Journal of big data 2023-12, Vol.10 (1), p.24-9, Article 24
Main Author:	Aslam, Muhammad
Format:	Article
Language:	eng
Subjects:	Classical statistics Communications Engineering Computational Science and Engineering Computer Science Data analysis Data Mining and Knowledge Discovery Database Management Information Storage and Retrieval Mathematical Applications in Computer Science Networks Neutrosophic statistics Physiology data Psychology Simulation The power of the test Uncertainty
Online Access:	Get full text
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Summary:	The existing Z-test for comparing sequential contingencies under classical statistics can be implemented only in the presence of certain frequencies, and the level of significance. The existing Z-test for comparing sequential contingencies cannot be applied when uncertainty/indeterminacy is found in observed frequencies, and the level of significance. To apply frequencies, Z-test for comparing sequential contingencies under indeterminate environment its modification under neutrosophic statistics will be given in this paper. The decision procedure of the Z-test for comparing sequential contingencies under neutrosophic statistics will be given with the help of an example selected from the psychology field. From the comparison, the proposed Z-test for comparing sequential contingencies was found to be more effective and more informative than the Z-test for comparing sequential contingencies.
ISSN:	2196-1115 2196-1115