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Sample Size Proportion Calculator

Determining how many people to survey is critical to ensure findings are statistically representative without wasting research resources on excessive recruitment.

Acceptable error percentage (e.g. ±5% is standard for public polls).

Probability that the sample confidence interval contains true population proportion.

Use 50% for maximum variability and conservative maximum sample sizing.

Leave blank or 0 for infinite / large unknown populations.

Calculated Result
385 Respondents

Sample Size Needed

Recommended Sample Size

385 respondents

Confidence Level

95% (Z = 1.96)

Margin of Error

±5%

Assumed Proportion

50%

Population Type

Infinite / Unknown

Calculation Breakdown

  1. Cochran's Sample Size Formulationn₀ = (Z² × p(1 - p)) ÷ E² = (1.96² × 0.50 × 0.50) ÷ (0.050)² = 385 respondents.

Required Sample Size by Margin of Error (95% Confidence, p = 0.5)

Interactive visualization based on your current inputs

Sample Size (n)
0.02.4k4.8k7.2k9.6k±10%±5%±3%±2%±1%Margin of ErrorRespondents Needed

What Is the Sample Size Proportion Calculator?

A sample size proportion calculator estimates the number of survey participants required to achieve dependable statistical inference.

How Does the Sample Size Proportion Calculator Work?

Inverts the binomial standard error formula to solve for n based on acceptable variance bounds.

Sample Size Proportion Calculator Formula & Variables

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

n₀ = (Z² × p(1 - p)) ÷ E² · n = n₀ ÷ [1 + (n₀ - 1) ÷ N]

Uses standard critical score Z, assumed proportion p, and margin of error E, adjusted for finite population N via finite population correction.

How to Use the Sample Size Proportion Calculator

  1. Specify desired margin of error, select confidence level, and optionally enter population size.

Step-by-Step Example Calculation

±5% Margin of Error at 95% Confidence

Input Values:

marginOfErrorPct:5
confidenceLevelPct:95
populationProportionPct:50

Understanding Your Result

Outputs minimum completed responses required to uphold advertised precision.

Factors That Affect the Result

  • Lower margin of error dramatically inflates sample size requirements due to inverse square relationship.

When Should You Use This Calculator?

  • Political polling, market research questionnaires, customer satisfaction surveys, and clinical audits.

Assumptions & Limitations

  • Assumes simple random sampling without clustering or non-response bias.

Frequently Asked Questions

Calculation Accuracy & Reference Note

Cochran WG. Sampling Techniques. John Wiley & Sons.

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