I teach introductory statistics to undergraduates and they are often confused with hypothesis testing. In particular, while the rule is
we reject the null hypothesis at significance level $\alpha$ when p value is less than $\alpha$
they many times interpret it the opposite. Say, if p value is 0.04, they say "we reject at 1% but not at 5%".
On one level, it is about the deeper understanding, which might be my fault as a teacher. But on another level (given that we are not always engaging with the deeper side of things), perhaps a cool mnemonic tip would help them with correct interpretation
Do you have a cool, undergraduate-level tip about how to correctly interpret p values vs significance level $\alpha$? I haven't come across any such tip.