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Approximation of the Binomial Probability Function Using the Discrete Normal Distribution

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  • Mohammad Fraiwan Al-Saleh
  • Doaa Suhail Obeidat

Abstract

A new method of approximating the Binomial probability function is introduced. The method is based on the discrete normal distribution. In particular, the discrete normal probability function is used to approximate the binomial probability function. The new approximation is compared with the exact values and the approximation based on Central limit theorem. The maximum absolute error of the approximation is used to measure the accuracy of the method. It turned out that this method of approximation is useful and easy to use in practice. Also, the result can be an important theoretical statistical result that can be used in educational statistics.

Suggested Citation

  • Mohammad Fraiwan Al-Saleh & Doaa Suhail Obeidat, 2022. "Approximation of the Binomial Probability Function Using the Discrete Normal Distribution," International Journal of Statistics and Probability, Canadian Center of Science and Education, vol. 11(3), pages 1-32, May.
    • Handle: RePEc:ibn:ijspjl:v:11:y:2022:i:3:p:32
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    References listed on IDEAS

    as
    1. Chang, Ching-Hui & Lin, Jyh-Jiuan & Pal, Nabendu & Chiang, Miao-Chen, 2008. "A Note on Improved Approximation of the Binomial Distribution by the Skew-Normal Distribution," The American Statistician, American Statistical Association, vol. 62, pages 167-170, May.
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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