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Margin of Error Calculator

The margin of error (MOE) expresses the maximum expected difference between the observed survey sample results and the true population value.

Number of completed survey responses.

Statistical confidence multiplier.

Observed percentage (use 50% for maximum possible conservative MOE).

Finite population size if surveying a small closed group.

Calculated Result
±4.38%

Margin of Error

Margin of Error

±4.38%

Confidence Interval

45.62% – 54.38%

Confidence Level

95%

Sample Size (n)

500

Calculation Breakdown

  1. Standard Error FormulationSE = √[p(1 - p) ÷ n] = √[0.50 × 0.50 ÷ 500] = 0.0224.
  2. Margin of Error MultiplicationMOE = Z × SE = 1.96 × SE = ±4.38%.

Margin of Error vs Sample Size (95% Confidence)

Interactive visualization based on your current inputs

MOE (%)
0.02.54.97.49.8n = 100n = 250n = 500n = 1,000n = 2,500Sample Size (n)Margin of Error (±%)

What Is the Margin of Error Calculator?

A margin of error calculator determines the statistical radius of uncertainty around survey sample statistics.

How Does the Margin of Error Calculator Work?

Applies standard normal sampling error propagation to determine confidence bounds.

Margin of Error Calculator Formula & Variables

The core mathematical equation utilized by this calculator is expressed as:

MOE = Z × √[p(1 - p) ÷ n] × FPC

Multiplies critical Z value by the standard error of the proportion, with finite population correction factor if population size is known.

How to Use the Margin of Error Calculator

  1. Input completed sample size, desired confidence level, and observed proportion.

Step-by-Step Example Calculation

500 respondents at 95% Confidence

Input Values:

sampleSize:500
confidenceLevelPct:95
observedProportionPct:50

Understanding Your Result

Shows ± error percentage and the lower and upper bounds of the resulting confidence interval.

Factors That Affect the Result

  • Sample size (n) and the variance of the observed proportion.

When Should You Use This Calculator?

  • Interpreting election polls, academic studies, marketing questionnaires, and quality audits.

Assumptions & Limitations

  • Assumes unbiased random sampling without systematic sampling defects.

Frequently Asked Questions

Calculation Accuracy & Reference Note

Standard asymptotic normal approximation for binomial proportions.

Explore more tools and calculators in Statistics Calculators