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Sample Size Calculator

Estimate sample size for a population proportion with optional finite-population correction.

Calculator inputs

Worked example: Sample Size Calculator

95%, 5% margin. This fixed reference example shows one complete scenario; the interactive results above use your current inputs.

View the example inputs
Confidence
95%
Margin of error
5 percentage points
Expected proportion
50 %
Population (0 = unlimited)
0
Calculated results for the fixed example
Calculated quantityExample result
Required completed responses385

Understanding data summaries and statistical uncertainty

Check the data before the summary

A mean summarizes total magnitude per observation, while a median locates the middle of an ordered data set. A few extreme values can affect them differently. Standard deviation describes spread in the original units; variance uses squared units. A frequency chart helps show distribution shape that one summary cannot capture.

Keep sample and population formulas distinct. A sample-variance calculation typically uses n−1 in its denominator. Repeated observations and units must be handled consistently, and a list of numbers does not by itself establish independent random sampling.

Choose the assumptions before reading the result

Confidence intervals, sample sizes and p-values depend on a specified model, confidence or tail convention, and data assumptions. A narrow calculated interval is not evidence that the assumptions were met. A p-value is not the probability that a hypothesis is true.

Use the page’s formula and worked example to check whether the statistic, sample size and degrees of freedom match the intended analysis. Do not substitute a population standard deviation for a sample value, or a one-sided test for a two-sided one, without changing the model.

Formula and calculation method

n₀=z²p(1−p)/e²; n=n₀/[1+(n₀−1)/N] for a finite population. Round upward. Simple random sampling is assumed; design effects and nonresponse are excluded.

Reference Sources

Frequently asked questions

How does this calculator work?

n₀=z²p(1−p)/e²; n=n₀/[1+(n₀−1)/N] for a finite population. Round upward. Simple random sampling is assumed; design effects and nonresponse are excluded.

What assumptions should I check?

Check the units and definitions shown beside each input. Results use the values you enter.

Can I save or print this calculation?

Use Copy link with inputs to reproduce the scenario, Download results for a text record, or Print. Where a schedule is shown, its CSV download includes every row.