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Sampling uncertainty calculators

Explore standard errors, normal-model margins and planning sample sizes.

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Use a critical value and model appropriate to the study. Simple random-sampling approximations do not correct for selection bias or clustered observations. Normal approximations can be poor for small samples or extreme proportions.

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Does a larger sample remove selection bias?

No. More observations can reduce sampling variability without repairing a systematically biased selection process.

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