Metadata-Version: 2.1
Name: staty-tests
Version: 0.2.0
Summary: A Python library for performing statistical tests like ANOVA and chi-square.
Home-page: https://github.com/solab5/statistical-tests
Author: Twinomugisha Morris
Author-email: morristwinomugisha2000@gmail.com
License: MIT
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: scipy
Requires-Dist: pandas
Requires-Dist: tabulate

# Statistical Tests

Statistical Tests is a Python library for performing common statistical tests such as one-way ANOVA and chi-square test.

## Installation

You can install the library via pip:


## Usage

```python
from statistical_tests.tests import StatisticalTests
import pandas as pd

# Create an instance of StatisticalTests with your dataframe
dataframe = pd.read_csv('your_data.csv')
tests = StatisticalTests(dataframe)

# Perform one-way ANOVA
tests.one_way_anova('dependent_variable', 'group_variable1', 'group_variable2')

# Perform chi-square test
tests.chi_square('variable1', 'variable2', 'variable3')
