Statistics for Everyone

This course for a wide audience shows you why and how a better understanding of uncertainty can improve your decision making and your understanding of the world.

Work in Progress

To view the lessons that are available so far, check out the hosted finished slides.

Development

The interactive slides are generated from Jupyter Notebooks written in Python.

list of possible topics

Installation

# assuming python 3.7 is installed as python3
python3 -m venv testenv
source testenv/bin/activate
pip install -r requirements.txt

To edit or create new lessons

• Each lesson is a jupyter notebook. Start

  jupyter lab

  and open any of the .ipynbfiles or create a new one.

Converting notebooks to slides is automated

• Export all slides, serve at localhost:8000 & update upon changes with

  make serve

• or convert to slides only once with

  make slides.

Editing the reveal.js theme

• If you are editing the theme for the first time, you need to run

  make build-reveal.

  You may need to install node.js first.

• Edit reveal.js/css/theme/source/statistics-for-everyone-slides.scss and run

  make theme

  to compile the stylesheets and copy them to the slides directory.

• Reveal.js is included as a git subtree. To update, run

git subtree --prefix reveal.js pull https://github.com/hakimel/reveal.js.git 0582f57517c97a4c7bfeb58762138c78883f94c5 --squash

Change the commit ID as desired.