Abstract

We propose approximations to the normal distribution function and to its inverse function using single polynomials in
each case. The absolute error of these approximations is significantly less than those of other approximations available
in the literature. We compare all the polynomial approximations empirically by calculating their respective percentage
absolute relative errors.

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