Statistics

Proportion Margin of Error Calculator

Estimate normal-approximation margin of error for a proportion.

Data stays on this deviceConvention explained below
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Review the method below for assumptions and conventions.

How to use this tool

  1. Enter observed proportion, sample size, critical z value.
  2. Select Calculate to view the result.
  3. Check the method and assumptions below before using the result.

Input reference and sample values

Use the units and choices shown for each field. Sample values are provided for practice, not as recommendations.

InputFormat and unitsSample
Observed proportionNumeric value. Zero or positive. Maximum: 1.0.5
Sample sizeWhole numbers only. Minimum: 1. Maximum: 1000000.400
Critical z valueNumeric value. Must be greater than zero.1.95996398

Result for these sample inputs

4.89990996 percentage points

Select Try the example in the form to load these values and calculate them again. This replaces the current form inputs. Compare the result with the method and worked explanation below.

The method, explained

Margin = z√[p(1 − p)/n], expressed in percentage points.

A WORKED EXAMPLE

Using observed proportion = 0.5, sample size = 400, critical z value = 1.95996398454, the result is 4.89990996 percentage points. Change these example inputs to match your task; use the method above to check each step.

What to keep in mind

Normal approximation may be unreliable for small counts or proportions near zero or one. A descriptive or probability calculation under the stated assumptions. Check the sample design and model before interpreting results.

Methodology maintained by ClarityKit. How these tools are built and checked.