Gaussian Cheat Sheet with Python version 2020-10-20

I collected basic information about Gaussian, a.k.a. normal, distributions: the PDF, CDF, (1 - CDF), and CDF^-1, their formulas, how they vary by mean and standard deviation, how they relate to similar functions (especially erf and erfc), and how to import them in Python or what code to use if you can't.

☞ The Cheat Sheet (199K .pdf)

Below are the Jupyter notebook the .pdf was rendered from,
the Latex-enabled Markdown, really all that's in the notebook,
and the images of the graphs.

Gaussian_Cheat_Sheet_Python.ipynb (16K)	the Jupyter notebook
Gaussian_Cheat_Sheet_Python.md (12K)	the Jupyter/MathJax/LaTeX-flavored markdown
Makefile (1K)
Q.png (12K)
erf.png (13K)
erfc.png (14K)
erfinv.png (12K)
std_cdf.png (12K)
std_pdf.png (16K)

This static page was made with a php script. Last change October 21, 2020.
--Steve Witham Up to my temporary home page.