Wise Use Of Null Hypothesis Tests: A Practition... <CONFIRMED - 2024>

If you run twenty different tests on the same data, one will likely be significant just by chance.

If the CI is very wide, your estimate is precise regardless of the p-value. Summary Checklist for Practitioners Wise Use of Null Hypothesis Tests: A Practition...

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. If you run twenty different tests on the

A p-value tells you if an effect is , not if it is large . Provide a template for reporting results to stakeholders

your primary hypothesis before looking at the data.

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

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