Simulation Study to Compare the Random Data Generation from Bernoulli Distribution in Popular Statistical Packages
Nadeem Shafique Butt
COMSATS Institute of Information Technology, Lahore
Manash Pratim Kashyap
affiliation not provided to SSRN
December 17, 2010
Pak. j. stat. oper. res., Vol. VI, No. 1, pp. 53-59, 2010
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.
Number of Pages in PDF File: 8
Keywords: SPSS, SAS, Minitab, Rworking papers series
Date posted: December 18, 2010 ; Last revised: May 19, 2011
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