means-testing 0.0.7

A simple library that automatically identifies the appropriate statistical test for comparing the means between two or more independent samples, and checking for statistical differences.

Means-Testing

A simple library that automatically identifies the appropriate statistical test for comparing the means between two or more independent samples, and checking for statistical differences.

Installation

pip install means-testing

Basic usage

from means_testing import MeansTester

# Initialize a MeansTester, that takes in samples and tests for statistical differences
StatToolbox = MeansTester(*samples)

# Check if means are significantly different
StatToolbox.test_means()

After carrying out the statistical test, one can determine if the samples passed are statistically different or not via the property SignificantDifference as shown below.

StatToolbox.SignificantDifference
> True (if samples are statistically different) or
> False (if samples are NOT statistically different)

For more examples check out the examples.

Citation

The functions and statistical tests here are impelemented based on the book by Riffenburgh, Statistics in Medicine:

Riffenburgh R H. Statistics in Medicine. Elsevier/Academic Press, Amsterdam, Netherlands; 2012