Benford’s Law is an important probability distribution that describes the proportion of digits in databases formed by a large number of random numbers that usually include data of different orders of magnitude. This law is especially relevant, because a wide variety of data has shown to be consistent with it and therefore it has been applied in very diverse areas of knowledge. The main goal of this work was to analyze the conformity to the Benford’s Law of the COVID-19 data of the three North American countries.

COVID-19, Benford’s law, digit distribution, probability distribution.

Received: June 4, 2021; Accepted: July 5, 2021; Published: July 17, 2021

How to cite this article: Félix Almendra-Arao, María del Rocío Reyes-Reyes and Marian Catherin Díaz-Arias, Digit analysis for COVID-19 data in North America, JP Journal of Biostatistics 18(3) (2021), 305-314. DOI: 10.17654/JB018010305

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

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