Data analysis for sequential contingencies under uncertainty

Journal of Big Data

Research

Muhammad Aslam¹ 

[1] Department of Statistics, Faculty of Science, King Abdulaziz University, 21551, Jeddah, Saudi Arabia;

关键词: Classical statistics;    Neutrosophic statistics;    The power of the test;    Simulation;    Physiology data;   

DOI  :  10.1186/s40537-023-00700-z

 received in 2022-08-24, accepted in 2023-02-09,  发布年份 2023

来源: Springer

【 摘 要 】

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.

【 授权许可】

CC BY   
© The Author(s) 2023

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