The post explains the connect between normal probability approximation and the cumulative distribution function (CDF) of a normally distributed random variable.
The CDF of a normally distributed random variable with mean μ and variance σ² is shown.
Python code is provided to demonstrate the accuracy of the approximation.
The resulting plot shows that the approximation closely matches the exact value within the resolution of the plot.