Branch Mathematics and Statistics Faculty and Staff Publications
Document Type
Article
Publication Date
2024
Abstract
The existing Mood’s median test is a non-parametric test used to compare two or more sample data sets whether they are from the same population or not. There can be no application of this test to uncertain and indeterminate data. Therefore, it is necessary to find a generalization of this test that will enable us to apply it in uncertain environments. This study will present a new approach that utilizes neutrosophic statistics to apply Mood’s median test. The approach involves defining hypotheses, determining a decision rule, and performing the test in an uncertain environment. An evaluation of the performance of the proposed test will be conducted using numerical examples. The results reveal that the proposed test under neutrosophic statistics is more informative, efficient, and flexible than the existing test under classical statistics in the presence of uncertain data.
Publication Title
International Journal Analysis and Applications
Volume
22
First Page
1
Last Page
11
Language (ISO)
English
Keywords
neutrosophic statistics, Mood’s median test
Recommended Citation
AlAita, Abdulrahman; Muhammad Aslam; and Florentin Smarandache.
"A New Mood’s Median Test for Imprecise Data."
International Journal Analysis and Applications
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
