Population and Sample Standard Deviation
Install and import#
npm install fintech-algorithmsimport { populationAndSampleStandardDeviation } from "fintech-algorithms/financial-mathematics-statistics-and-data-foundations/dispersion-shape-and-robust-statistics/population-and-sample-standard-deviation";Signature#
populationAndSampleStandardDeviation(input)Worked example#
verified This is the worked example published in the article, replayed by the test suite on every run. The output cannot drift.
Input#
{
"values": [1, 2, 2, 4, 9]
}Call#
populationAndSampleStandardDeviation(input)Returns#
object with 2 fields: populationStandardDeviation, sampleStandardDeviation
{
"populationStandardDeviation": 2.870540018881465,
"sampleStandardDeviation": 3.2093613071762426
}Diagrams#
How it works#
This page states the contract — how to call it correctly. The article explains the concept: why it works, and where it breaks.
References#
- Measures of Scale — NIST/SEMATECH e-Handbook
- Skewness and Kurtosis — NIST/SEMATECH e-Handbook
- Historical-example decision