What This Calculator Measures
Estimate confidence interval coverage based on confidence level and sample size.
By combining practical inputs into a structured model, this calculator helps you move from vague estimation to clear planning actions you can execute consistently.
This calculator estimates CI width and coverage based on sample size and variance.
How to Use This Well
- Set confidence level and sample size.
- Enter estimated standard deviation.
- Add margin target and coverage goal.
- Review CI width and coverage.
- Adjust sample size if needed.
Formula Breakdown
Margin = z × (σ ÷ √n)Worked Example
- 95% confidence with σ=12 and n=200.
- Margin ≈ 1.96 × 0.85 = 1.7.
- CI width ≈ 3.4.
Interpretation Guide
| Range | Meaning | Action |
|---|---|---|
| 0–2 | Tight CI. | High precision. |
| 2–5 | Moderate CI. | Usable precision. |
| 5–10 | Wide CI. | Increase sample. |
| 10+ | Very wide. | Refine inputs. |
Optimization Playbook
- Increase sample: reduce margin.
- Lower variance: narrower CI.
- Adjust confidence: balance precision.
- Track coverage: ensure target met.
Scenario Planning
- Baseline: current sample size.
- Higher confidence: increase to 98%.
- More samples: add 100 samples.
- Decision rule: keep margin under target.
Common Mistakes to Avoid
- Using the wrong variance estimate.
- Ignoring distribution choice.
- Overstating confidence without sample size.
- Skipping margin checks.
Implementation Checklist
- Estimate variance realistically.
- Set confidence target.
- Check margin vs goal.
- Adjust sample plan.
Measurement Notes
Treat this calculator as a directional planning instrument. Output quality improves when your inputs are anchored to recent real data instead of one-off assumptions.
Run multiple scenarios, document what changed, and keep the decision tied to trends, not a single result snapshot.
FAQ
What confidence level should I use?
95% is common; 90% is used for faster estimates.
How do I reduce CI width?
Increase sample size or reduce variance.
What if margin exceeds target?
Add more samples or adjust expectations.