applied-stats 0.0.1

A basic statistics module to compute MLEs / probabilities

Statistics_Module

Creating a project to implement various statistical distributions and methods in Python.

To install and run this project, do the following:

1. Run the following to install:

pip install applied_stats

2. Follow these examples to start plotting and calculating probabilities. The examples below, and several others, can also be found in the Demonstration Jupyter Notebook

3. To run the test file, from the command line enter: python test.py

Usage

To generate some plots and calculate some probabilities:

>>> from stats_tools import continuous_distributions
>>> a = Norm_rv(0,1)
>>> a.plot_pdf()
>>> a.probability_calc()

>>> q = ChiSq_rv(4,crit_value=7)
>>> q.plot_pdf(cv_probability=True)
>>> q.probability_calc()

To calculate the numeric MLE of several common distributions:

>>> from stats_tools import mle 
>>> a = [1,3,2,5,6,7,2,3,4,5]
>>> mle.binomial(a)
>>> 3.8

>>> b = [1.2,4.3,2.3,6.8,2.4,3.6]
>>> mle.exponential(b) 
>>> 3.4333333333333336