A Statistical Analysis: “Impact of Weather in Homogeneity of Covid-19 Variations In India”

I. Sadiq, J. Raghav, Rabilu Ado
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Abstract

Corona virus recently has become a unique universal severe problem required much attention of researcher to come out with optimum solution. The specific intention of this research is to make comparison and test the homogeneity of various averages. Analyses of Variance (ANOVA) by using the R-Studio and tests concern to the effects of weather in corona spread were observed. Over the rapid increased in daily and widespread active reported positive cases of covid-19 in the set of three neighboring state of India were observed. Objective of this paper is to find indication and homogeneity of COVID-19 variations under the specific weather effects with the conclusion at 5% and 1% level of significance.
统计分析:“天气对印度Covid-19变异同质性的影响”
近年来,冠状病毒已成为一个独特的全球性严重问题,需要研究人员的高度重视,以找出最佳的解决方案。本研究的具体目的是比较和检验各种平均值的同质性。采用R-Studio进行方差分析(ANOVA),并对天气对冠状病毒传播的影响进行了检验。在邻近的印度三个邦,观察到每日活跃报告的covid-19阳性病例迅速增加和广泛存在。本文的目的是寻找特定天气效应下COVID-19变化的指征和均匀性,结论在5%和1%的显著性水平下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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