# Statistical test for “no difference”

To most researchers and practitioners using statistical inference, the popular hypothesis testing universe consists of two hypotheses: H0 is the null hypothesis of “zero effect” H1 is the alternative hypothesis of “a non-zero effect” The alternative hypothesis (H1) is typically what the researcher is trying to find: a different outcome for a treatment and control group in an experiment, a regression coefficient that is non-zero, etc. Recently, several independent colleagues have asked me if there’s a statistical way to show that an effect is zero, or, that there’s no difference between groups. Can we simply use the above setup? The answer … Continue reading Statistical test for “no difference”