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atoti.stats.normal.cdf(
    point: VariableMeasureConvertible,
    /,
    *,
    mean: NumericMeasureConvertible,
    standard_deviation: StrictlyPositiveNumber | VariableMeasureConvertible,
) → MeasureDefinition
Cumulative distribution function for a normal distribution.
This feature is experimental, its key is "stats.normal.cdf".
The cdf is given by the formula cdf(x)=12[1+erf(xμσ2)]\operatorname {{cdf}}(x) = \frac {{1}}{{2}}\left[1 + \operatorname {{erf}} \left(\frac {{x-\mu }}{{\sigma {{\sqrt {{2}}}}}}\right)\right] Where μ\mu is the mean of the distribution, σ\sigma is its standard deviation and erf\operatorname {{erf}} the error function.

Parameters

point

The point where the function is evaluated.

mean

The mean value of the distribution.

standard_deviation

The standard deviation of the distribution. Must be positive.