Data analysis for sequential contingencies under uncertainty

Abstract

Abstract 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.

Keywords

• Classical statistics
• Neutrosophic statistics
• The power of the test
• Simulation
• Physiology data