Simulation Study to Compare the Random Data Generation from Bernoulli Distribution in Popular Statistical Packages

Pak. j. stat. oper. res., Vol. VI, No. 1, pp. 53-59, 2010

8 Pages Posted: 18 Dec 2010 Last revised: 19 May 2011

See all articles by Nadeem Shafique Butt

Nadeem Shafique Butt

King Abdul Aziz University

Manash Pratim Kashyap

affiliation not provided to SSRN

Dibyojyoti Bhattacharjee

Assam University

Date Written: December 17, 2010

Abstract

In study of the statistical packages, simulation from probability distributions is one of the important aspects. This paper is based on simulation study from Bernoulli distribution conducted by various popular statistical packages like R, SAS, Minitab, MS Excel and PASW. The accuracy of generated random data is tested through Chi-Square goodness of fit test. This simulation study based on 8685000 random numbers and 27000 tests of significance shows that ability to simulate random data from Bernoulli distribution is best in SAS and is closely followed by R Language, while Minitab showed the worst performance among compared packages.

Keywords: SPSS, SAS, Minitab, R

Suggested Citation

Butt, Nadeem Shafique and Kashyap, Manash Pratim and Bhattacharjee, Dibyojyoti, Simulation Study to Compare the Random Data Generation from Bernoulli Distribution in Popular Statistical Packages (December 17, 2010). Pak. j. stat. oper. res., Vol. VI, No. 1, pp. 53-59, 2010, Available at SSRN: https://ssrn.com/abstract=1727487 or http://dx.doi.org/10.2139/ssrn.1727487

Nadeem Shafique Butt (Contact Author)

King Abdul Aziz University ( email )

Jeddah
Saudi Arabia

HOME PAGE: http://www.nsbstat.com

Manash Pratim Kashyap

affiliation not provided to SSRN ( email )

Dibyojyoti Bhattacharjee

Assam University ( email )

Silchar
Assam
788011
India

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