It Might Look Normal but This Distribution Will Ruin Your Stats

Explore a deceptive non-normal distribution that closely resembles the normal curve but can significantly impact statistical analyses. Delve into the prevalence of this distribution in nature and its potential to cause false negatives in hypothesis testing. Learn about robust statistics and their importance in handling such distributions. Engage with an interactive notebook app to visualize and experiment with these concepts. Discover the "Hypothesize" library, a robust statistics tool for Python. Follow a comprehensive roadmap covering topics like power analysis, live demonstrations, winterized correlation, and patterns of effects. Gain hands-on experience in building your own distributions and understanding their implications for statistical research.

Introduction
Roadmap
The distributions we find in nature
Power power
Live demo
Winterized Correlation
Sexual Attitude
The Good Stuff
Patterns of effects
Notebook
Build your own distribution
Conclusion