Duckworth’s test is a well-known non-parametric statistical test used for comparing the medians of two populations. However, the conventional Duckworth’s test, based on classical statistics, is inadequate when dealing with data originating from neutrosophic populations. This paper presents a modified version of Duckworth’s test, specifically designed for neutrosophic statistics. This novel approach enables the application of Duckworth’s test to imprecise, uncertain, or data recorded in indeterminate intervals. The proposed test statistic under neutrosophic statistics is introduced and applied to real-world Covid-19 data. Through comprehensive analysis and simulation studies, the efficacy of the proposed Duckworth’s test under neutrosophic statistics is demonstrated to surpass that of the existing Duckworth’s test under classical statistics.

medians, neutrosophy, Duckworth’s test, classical statistics, simulation.

Received: August 7, 2023; Accepted: September 25, 2023; Published: October 21, 2023

How to cite this article: Muhammad Aslam and Muhammad Saleem, Analysis of corona patients using uncertainty-based non-parametric median test, JP Journal of Biostatistics 23(3) (2023), 315-327. http://dx.doi.org/10.17654/0973514323018

This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License

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