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

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

Data Brief. 2016 Dec 9:10:269-276. doi: 10.1016/j.dib.2016.12.003. eCollection 2017 Feb.

Authors

Hilary I Okagbue¹, Abiodun A Opanuga¹, Pelumi E Oguntunde¹, Paulinus O Ugwoke²

Affiliations

¹ Department of Mathematics, Covenant University, Ota, Nigeria.
² Department of Computer Science, University of Nigeria, Nsukka, Nigeria; Digital Bridge Institute, International Centre for Information & Communications, Technology Studies, Abuja, Nigeria.

Abstract

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.

Keywords: Chi-square tests; GSM recharge cards; Random number tables; Randomness.