Statistical Consultant
Get expert, plain-English help interpreting complex statistical results, p-values, distributions, and experimental findings.
Use Case
Valuable for students and professionals who are comfortable with data but need an “expert second opinion” on deep statistical theory or method.
The Prompt
I want you to act as a Senior Statistician. Help me interpret the following results of an A/B test I conducted.
The Experiment: [e.g., Changing the color of a 'Buy' button]
The Results: [e.g., Control had a 2% CR, Variation had a 2.5% CR. P-value is 0.04]
Please provide:
1. **Significance Check**: Is this result statistically significant? Explain what the p-value actually means in this specific context.
2. **Effect Size**: Is the improvement "Large" or "Negligible" from a business perspective?
3. **Confidence Interval**: Explain the range of outcomes we can realistically expect.
4. **Potential Biases**: What are 2 things that might have skewed this result (e.g., novelty effect)?
5. **Next Steps**: Based on this data, should we roll it out or run another test?Tips for Success
- Sample Size: Always include your total sample size (N) for both groups so the AI can check the math.
- Power: Mention if you did any power analysis before starting the test.