Why can a statistically significant result still be commercially meaningless?
- A With a large enough sample, a tiny difference becomes significant
- B Significance is randomly assigned
- C P-values are unreliable
- D Significance requires a small sample
Answer
With a large enough sample, a tiny difference becomes significant
Confidence intervals and effect sizes convey what matters far better than a bare significant or not-significant verdict.





