Free · Probability and statistical models

Proportion Margin of Error with Population Correction

Estimate a normal-approximation margin for a sampled proportion.

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How to use this calculator

  1. Enter the known values in the units shown. Results update as you type.
  2. Where results are editable, change one to solve backwards. Lock a value to hold it fixed.
  3. Use the worked example to check the method. Reset restores the starting fields.

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Formula and method

With 50 successes in 100 observations and the retained 95% critical value 1.96, the uncorrected margin is 9.8 percentage points.

MOE = z √(p(1−p)/n); finite correction = √((N−n)/(N−1))

Worked example

Enter these known values and leave the other values blank.

Sample size
100
Number of people who gave the desired answer
50
Population size
1000
Z-score
1.96
Sample proportion (p̂)
0.5
Margin of error
9.302 %

Assumptions and limitations

  • Independent random sampling and an adequate number of successes and failures are assumed.
  • Critical values in the selector are rounded. A normal interval is unreliable for small samples and proportions near zero or one.
  • The population correction assumes sampling without replacement from a finite population. Sample size cannot exceed population size.
  • The retained input domain excludes proportions exactly zero or one and zero successes. Population and sample values must be positive.

Common questions

What should I check before using this result?

Independent random sampling and an adequate number of successes and failures are assumed.

References

Require whole positive sampling counts; retain the captured strict interior proportion domain.

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