It measures the probability of seeing your data if the world is actually boring ( H0cap H sub 0
A 95% CI tells you the likely neighborhood of the true effect. Wise Use of Null Hypothesis Tests: A Practition...
Interpret high p-values as "inconclusive" rather than "proof of zero effect." 4. Contextualize with Confidence Intervals It measures the probability of seeing your data
With a massive sample size, even a tiny, useless difference will be "statistically significant." even a tiny
If the CI is very wide, your estimate is precise regardless of the p-value. Summary Checklist for Practitioners
Did I check my data for outliers and normality before testing? Is my sample size justified by a power calculation? Am I reporting the effect size alongside the p-value?