Margin of Error Calculator
Calculate the margin of error for a survey proportion at a chosen confidence level, with optional finite population correction.
Your inputs
Results
Margin of error
3.099 percentage points
- Range for the proportion
- 46.9 % to 53.1 %
- z critical value
- 1.959964
✓Exact calculation — rounded only for display
Notes for this result
- Covers random sampling error only — not non-response, wording or coverage bias.
What this calculator does
Polls report results “± a few points”. That margin of error depends mostly on sample size.
Formula and method
MOE = z × √(p(1 − p) ÷ n) × √((N − n) ÷ (N − 1)) when the population N is given
Worked example
Calculated by this tool with its default inputs:
Inputs
- Sample size: 1000
- Observed proportion: 50 %
- Confidence level: 95 %
- Population size (optional, for finite population correction):
Results
- Margin of error: 3.099 percentage points
- Range for the proportion: 46.9 % to 53.1 %
- z critical value: 1.959964
How to read the results
Quadrupling the sample size roughly halves the margin of error.
Assumptions and limitations
- Covers random sampling error only, not bias.
Questions
Why does 50 % give the largest margin?
p(1 − p) is largest at p = 0.5.
Methodology and verification
- Result type
- Exact mathematical calculation (rounded only for display)
- Formula version
- 1.0
- Automated verification
- 3 reference and validation test cases, checked against independently computed values. The site cannot be built if any of them fail.
- Editorial review
- Awaiting human editorial review. The explanation was drafted with AI assistance; the formula and examples are verified by the automated tests above.
Privacy
Everything you enter is calculated in this browser and is not sent to Numerith or anyone else. Inputs are added to a share link only if you choose to include them. Privacy policy