Most of us were taught to focus on whether p<0.05. But is that really the best way to interpret statistical results?
I’ve put together a new two-page information sheet, Beyond p Values: Interpreting Statistical Results, that explains why p values are so often misunderstood, the controversy surrounding significance testing, and five practical ways to improve your statistical practice. It’s written for students and researchers who want a clearer, more thoughtful approach to statistical inference.
If you teach or use statistics, I hope you find it useful.

