{"title":"Breaking Benford’s law: a statistical analysis of COVID-19 data using the Euclidean\n distance statistic","authors":"L. Campanelli","doi":"10.59170/stattrans-2023-028","DOIUrl":null,"url":null,"abstract":"Using the Euclidean distance statistical test of Benford’s law, we analyse the\n COVID-19 weekly case counts by country. While 62% of the 100 countries and territories\n considered in the present study conforms to Benford’s law at a significant level of α =\n 0.05 and 17% at a significant level of 0.01 ≤ α < 0.05, the remaining 21% shows a\n deviation from it (p values smaller than 0.01). In particular, 5% of the countries\n ‘break’ Benford’s law with a p value smaller than 0.001.","PeriodicalId":37985,"journal":{"name":"Statistics in Transition","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistics in Transition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59170/stattrans-2023-028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 1
Abstract
Using the Euclidean distance statistical test of Benford’s law, we analyse the
COVID-19 weekly case counts by country. While 62% of the 100 countries and territories
considered in the present study conforms to Benford’s law at a significant level of α =
0.05 and 17% at a significant level of 0.01 ≤ α < 0.05, the remaining 21% shows a
deviation from it (p values smaller than 0.01). In particular, 5% of the countries
‘break’ Benford’s law with a p value smaller than 0.001.
期刊介绍：
Statistics in Transition (SiT) is an international journal published jointly by the Polish Statistical Association (PTS) and the Central Statistical Office of Poland (CSO/GUS), which sponsors this publication. Launched in 1993, it was issued twice a year until 2006; since then it appears - under a slightly changed title, Statistics in Transition new series - three times a year; and after 2013 as a regular quarterly journal." The journal provides a forum for exchange of ideas and experience amongst members of international community of statisticians, data producers and users, including researchers, teachers, policy makers and the general public. Its initially dominating focus on statistical issues pertinent to transition from centrally planned to a market-oriented economy has gradually been extended to embracing statistical problems related to development and modernization of the system of public (official) statistics, in general.
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