Data analysis for sequential contingencies under uncertainty

被引:0
作者
Muhammad Aslam
机构
[1] King Abdulaziz University,Department of Statistics, Faculty of Science
来源
Journal of Big Data | / 10卷
关键词
Classical statistics; Neutrosophic statistics; The power of the test; Simulation; Physiology data;
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学科分类号
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.
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