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 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.

Automated summary

This paper introduces that the existing Z-test for comparing sequential contingencies can only be implemented in the presence of certain frequencies and the level of significance. However, it cannot be applied when uncertainty/indeterminacy is found in observed frequencies. This paper proposes a modification of the Z-test for comparing sequential contingencies under indeterminate environment using neutrosophic statistics, and provides the decision procedure with an example from the psychology field. The proposed Z-test is found to be more effective and informative than the existing one.