Free Research Tool — H-in-Q

How large should your
research sample be?

Instantly calculate the minimum number of respondents for statistically reliable market research — based on your margin of error, confidence level, and response rate. Built by US market research experts.

Market research analytics dashboard with sample size calculations and data charts




Calculador de tamaño de muestra

Your parameters
Population size
10K

500100K1M+

Desired margin of error
5%

1% precise5% standard10% broad

Confidence level
95%



Expected response rate
30%

5% cold outreach30% panel100%

Your results
384
minimum respondents needed
for statistical validity

Invitations to send
1,280

Z-score
1.96

Std deviation
0.50

Risk profile
Medium

Precision index

Standard precision — suitable for most consumer surveys

Cochran formula (finite population correction)
n = (Z² × 0.5 × 0.5) / e²
adjusted for finite population N

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Sample size reference table

Common US research configurations — your current selection is highlighted in blue

Margin of error Confidence Min. sample Invitations (30% RR) Risk Typical use case

±

Margin of error

The ± range around your results. At ±5%, if 60% say “yes,” the true answer is between 55–65%. Smaller margin = more invitations needed.

%

Confidence level

How certain you want to be. At 95%, your results reflect reality 95 times out of 100 if the study were repeated. Industry standard for consumer research.

n

Why it matters

Too small a sample produces unreliable insights. Too large wastes budget. This calculator finds the statistically optimal number for your research goals.

H-in-Q AI Market Research

Need custom research?

We design quota sampling plans, panel surveys & full research programs — tailored for your market.

Contact our team Formula: Cochran (1977) with finite population correction

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