[3.8] bpo-36546: Add examples to elucidate the formulas (GH-14898) by miss-islington · Pull Request #14899 · python/cpython

Expand Up @@ -527,14 +527,18 @@ However, for reading convenience, most of the examples show sorted sequences. The default *method* is "exclusive" and is used for data sampled from a population that can have more extreme values than found in the samples. The portion of the population falling below the *i-th* of *m* data points is computed as ``i / (m + 1)``. *m* sorted data points is computed as ``i / (m + 1)``. Given nine sample values, the method sorts them and assigns the following percentiles: 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%.
Setting the *method* to "inclusive" is used for describing population data or for samples that include the extreme points. The minimum value in *dist* is treated as the 0th percentile and the maximum value is treated as the 100th percentile. The portion of the population falling below the *i-th* of *m* data points is computed as ``(i - 1) / (m - 1)``. data or for samples that are known to include the most extreme values from the population. The minimum value in *dist* is treated as the 0th percentile and the maximum value is treated as the 100th percentile. The portion of the population falling below the *i-th* of *m* sorted data points is computed as ``(i - 1) / (m - 1)``. Given 11 sample values, the method sorts them and assigns the following percentiles: 0%, 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 100%.
If *dist* is an instance of a class that defines an :meth:`~inv_cdf` method, setting *method* has no effect. Expand Down