Standard Error Calculator from Sample Size and Proportion
Standard error from sample size and proportion is a crucial statistical measure that helps understand the variability of an estimate. It’s particularly important in survey sampling and hypothesis testing.
- Enter your sample size.
- Enter the proportion you’re interested in.
- Click ‘Calculate’.
The formula for standard error is:
SE = sqrt[(p*(1-p))/n])
where p is the proportion and n is the sample size.
Real-World Examples
| Sample Size | Proportion | Standard Error |
|---|
- Always use a representative sample for accurate results.
- Consider the margin of error when interpreting results.
- Use this calculator to estimate sample size needed for a desired level of precision.
What is the difference between standard error and standard deviation?
Standard error is a measure of the variability of an estimate, while standard deviation is a measure of the variability of a dataset.
U.S. Census Bureau – Learn more about sampling methods.
Statistics How To – Detailed explanation of standard error.