Conduct a before your study to ensure your sample size is large enough.
Interpret high p-values as "inconclusive" rather than "proof of zero effect." 4. Contextualize with Confidence Intervals
) is the baseline assumption that . No effect, no difference, no change. The goal of the test isn't to prove your idea is right, but to see if your data is "weird" enough to make the H0cap H sub 0 look unlikely.
With a massive sample size, even a tiny, useless difference will be "statistically significant."
P-values are a "Yes/No" toggle. Confidence Intervals (CIs) provide a .
