t-tests-2-independent-samples-on-Jupyter-notebooks

Perform Independent sample Students t test on Pandas dataframe using PySimpleGUI (more interactive) / Jupyter/ Scipy and Seaborn.

These notebooks Plot the data using Seaborn and Test for Significance using two sample independent t test

First file creates data using Mutivariate function in Scipy you can rerun for you get ahem! cough cough! wink wink! levels of significance

Second file loads 2 columns of a Pandas dataframe, plots and does the t test

Please revert with your clarifications, comments and errors to me

Welcome to fork me for improving these notebooks