measure-noise

Measure how our data deviates from normal distribution

Branch	Status	Coverage
master
dev

Install

pip install measure-noise

Usage

The deviance() method will return a (description, score) pair describing how the samples deviate from a normal distribution, and by how much. This is intended to screen samples for use in the t-test, and other statistics, that assume a normal distribution.

• SKEWED - samples are heavily to one side of the mean
• OUTLIERS - there are more outliers than would be expected from normal distribution
• MODAL - few samples are near the mean (probably bimodal)
• OK - no egregious deviation from normal
• N/A - not enough data to make a conclusion (aka OK)

Example

from measure_noise import deviance

>>> desc, score = deviance([1,2,3,4,5,6,7,8])
>>> desc
'OK'

Development

git clone https://github.com/mozilla/measure-noise.git
cd measure-noise
pip install -r requirements.txt
pip install or tests/requirements.txt
python -m unittest discover tests 

Windows

You must download the scipy and numpy binary packages.