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atoti.stats.normal.ppf(
    point: VariableMeasureConvertible,
    /,
    *,
    mean: NumericMeasureConvertible,
    standard_deviation: StrictlyPositiveNumber | VariableMeasureConvertible,
) → MeasureDefinition
Percent point function for a normal distribution.
This feature is experimental, its key is "stats.normal.ppf".
Also called inverse cumulative distribution function. The ppf is given by the formula ppf(x)=μ+σ2erf1(2x1)\operatorname {{ppf}}(x) = \mu + \sigma \sqrt{{2}} \operatorname {{erf}} ^{{-1}}(2x-1) Where μ\mu is the mean of the distribution, σ\sigma is its standard deviation and erf1\operatorname {{erf}}^{{-1}} the inverse of 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.