atoti.experimental.stats.normal.ppf()#

atoti.experimental.stats.normal.ppf(point, /, *, mean, standard_deviation)#

Percent point function for a normal distribution.

Also called inverse cumulative distribution function.

The ppf is given by the formula

\[\operatorname {ppf}(x) = \mu + \sigma \sqrt{2} \operatorname {erf} ^{-1}(2x-1)\]

Where \(\mu\) is the mean of the distribution, \(\sigma\) is its standard deviation and \(\operatorname {erf}^{-1}\) the inverse of the error function.

Parameters:

point (NonConstantMeasureConvertible) – The point where the function is evaluated.
mean (NumericMeasureConvertible) – The mean value of the distribution.
standard_deviation (int | float | NonConstantMeasureConvertible) – The standard deviation of the distribution. Must be positive.

Return type:

MeasureDescription