Grubbs' test for outliers

Online Grubbs' test for outliers: http://xcatliu.github.io/grubbs/

What is Grubbs' test

Grubbs' test (named after Frank E. Grubbs, who published the test in 1950), also known as the maximum normed residual test or extreme studentized deviate test, is a statistical test used to detect outliers in a univariate data set assumed to come from a normally distributed population.

For more information, please visit Grubbs' test for outliers.

Usage

Use online calculator

1. Open online Grubbs' test for outliers: http://xcatliu.github.io/grubbs/
2. Choose significance level
3. Enter or paste your data, one value per row, up to 100 rows
4. Click Go button to see the result

Use as node modules

First install grubbs via npm

npm install grubbs --save

Then use grubbs.test function

var grubbs = require('grubbs');
var dataSet = [
  10.45, 10.26, 10.49, 10.36, 10.53, 10.77, 10.40, 10.40, 10.56, 10.88, 10.47,
  10.49, 10.46, 10.38, 10.47, 10.39, 10.51, 10.49, 10.54, 10.46, 10.45, 10.49,
  10.46, 10.46, 10.51, 10.47, 10.54, 10.52, 10.47, 10.44, 11.62, 11.60, 10.42,
  10.42, 10.39, 10.22, 10.47, 10.42, 10.52, 10.57, 10.49, 10.49, 10.51, 10.47,
  10.51, 10.48, 10.4, 10.3, 10.47, 10.45
];
var result = grubbs.test(dataSet);
console.log(result);

API

grubbs.test

TODO

Contribution

Getting Start

npm install
npm start

Deploy gh-pages

npm run deploy:gh-pages

Competing Products

• GraphPad Software Grubbs1

Reference

• Grubbs' test for outliers
• Grubbs' critical value table
• 格鲁布斯检验 - 化学化工专业知识百科网
• 异常值（outlier）的判别与剔除