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Hello! I'm Josh Starmer and welcome to the github repository for my book, The StatQuest Illustrated Guide to Statistics. Here are the coding tutorials associated with each chapter. Enjoy!

Shameless Self Promotion!!!! If you don't already have The StatQuest Illustrated Guide to Statistics, you should get it! The book starts with the basics, calculating summary statistics and drawing histograms and then builds from there, one step at a time, until you have mastered the concepts behind Linear Regression, t-tests, ANOVA and ANCOVA. Furthermore, putting the theory into practice is easy because each major concept is paired with a Python and R tutorial. BAM!

Here's what people are saying about The StatQuest Illustrated Guide to Statistics

Instead of a parade of obscure formulas, this friendly book is a must-read for anyone who wants to intuitively understand statistical arguments to solidify evidence for their projects. - Derek Sollberger, Princeton Center for Statistics and Machine Learning


The physical copies of the book are available on Amazon. If your more of a digital kind of person, you can also purchase a PDF.

All of the tutorials listed below can be run immediately in the cloud for free with Google Colab.

Chapter Google Colab - Python Google Colab - R
01 Understanding Fundamental Concepts in Statistics!!! Open In Colab Open In Colab
02 Visualizing Data and Calculating Probabilities with Histograms!!! Open In Colab Open In Colab
03 Saving Time and Money with Probability Distributions and Models!!! Open In Colab Open In Colab
04 Making Decisions with Hypothesis Testing and the Null Hypothesis!!!
05 Quantifying Confidence in our Decisions with p-values!!! Open In Colab Open In Colab
06 Using a Single Variable to Make Predictions and Decisions with Linear Regression!!! Open In Colab Open In Colab
07 Using More Variables to Make Predictions and Decisions with Multiple Regression!!! Open In Colab Open In Colab
08 Testing for Differences with t-tests!!! Open In Colab Open In Colab
09 Determining How Much Data to Collect with Power and Power Analyses!!! Open In Colab Open In Colab
10 Avoiding p-value Pitfalls!!! Open In Colab Open In Colab
11 Testing for More Differences with ANOVA and ANCOVA!!! Open In Colab Open In Colab

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