Using Non-Parametric Tests to Analyze the Emergency Cases in Sulaymaniyah Governorate Hospitals
DOI:
https://doi.org/10.31272/jae.i148.1399Keywords:
Emergency cases, Nonparametric Tests, Mann-Whitney test, the Kruskal-Wallis test.Abstract
This research includes an understanding and applied different types of non-parametric statistical tests. Nonparametric approaches give an alternative set of statistical techniques that make limited data assumptions or no assumptions at all. These methods are often used to analyze behavior of the data that do not need the distribution or require of parametrical methods.
The purpose is to use mathematical concepts to explain and implement these various types of nonparametric tests in emergency situations. In this research we try to study the relationship between emergencies (traffic accidents, falls from a height, shots, sharp tools, military operations and civil rebellion) and between age, gender and the four seasons of the year through the use of tests and to the period (December 1, 2019 to December 30, 2021) Data was collected at Shar Hospital in Sulaymaniyah, Kurdistan Region of Iraq. Throughout, it was evident that non-parametric tests of independent samples were used. Together Non-parametric tests such as the Mann-Whitney test and the Kruskal-Wallis test will be applied
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