Practition...: Wise Use Of Null Hypothesis Tests: A

With a massive sample size, even a tiny, useless difference will be "statistically significant."

Use or similar adjustments if testing multiple variables. 3. The Power of "No" A non-significant result (

A p-value tells you if an effect is , not if it is large . Wise Use of Null Hypothesis Tests: A Practition...

Conduct a before your study to ensure your sample size is large enough.

If the CI is very wide, your estimate is precise regardless of the p-value. Summary Checklist for Practitioners With a massive sample size, even a tiny,

If you tell me the you're working in (e.g., medicine, marketing, psychology), I can: Suggest the best specific tests for your data types. Provide a template for reporting results to stakeholders. Explain how to handle non-normal data distributions.

Always report (e.g., Cohen’s d or Pearson’s r) to show the magnitude of the finding. 2. Stop the "P-Hacking" Conduct a before your study to ensure your

Usually set at 0.05, meaning we accept a 5% risk of being wrong when we claim an effect exists. 💡 Practical Rules for Wise Use 1. Significance ≠is not equal to Importance