Random number datasets generated from statistical analysis of randomly sampled GSM recharge cards

Hilary I. Okagbue; Abiodun A. Opanuga; Pelumi E. Oguntunde; Paulinus O. Ugwoke

doi:10.1016/j.dib.2016.12.003

Data in Brief (Feb 2017)

Random number datasets generated from statistical analysis of randomly sampled GSM recharge cards

Hilary I. Okagbue,
Abiodun A. Opanuga,
Pelumi E. Oguntunde,
Paulinus O. Ugwoke

Affiliations

Hilary I. Okagbue: Department of Mathematics, Covenant University, Ota, Nigeria
Abiodun A. Opanuga: Department of Mathematics, Covenant University, Ota, Nigeria
Pelumi E. Oguntunde: Department of Mathematics, Covenant University, Ota, Nigeria
Paulinus O. Ugwoke: Department of Computer Science, University of Nigeria, Nsukka, Nigeria

DOI: https://doi.org/10.1016/j.dib.2016.12.003
Journal volume & issue: Vol. 10, no. C
pp. 269 – 276

Abstract

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In this article, a random number of datasets was generated from random samples of used GSM (Global Systems for Mobile Communications) recharge cards. Statistical analyses were performed to refine the raw data to random number datasets arranged in table. A detailed description of the method and relevant tests of randomness were also discussed.

Published in Data in Brief

ISSN: 2352-3409 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Medicine: Medicine (General): Computer applications to medicine. Medical informatics; Science: Science (General)
Website: http://www.journals.elsevier.com/data-in-brief/

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