Standard Error Of A Proportion Calculator

The standard error of a proportion is a statistical measure that quantifies the amount of uncertainty in an estimated proportion. It’s crucial for understanding the reliability of your estimates and making informed decisions.

1. Enter your sample size.
2. Enter the proportion you’re estimating.
3. Choose your desired confidence level.
4. Click ‘Calculate’.

The formula for the standard error of a proportion is:

SE = sqrt[(p*(1-p))/n]

where p is the proportion, and n is the sample size.

Comparison of Standard Errors at Different Confidence Levels

Sample Size	Proportion	90% Confidence Interval	95% Confidence Interval	99% Confidence Interval

• Always use a large enough sample size to ensure accurate estimates.
• Consider the confidence level based on the importance of your decision.
• Use the standard error to compare different proportions or samples.

What is a confidence interval?

A confidence interval is a range of values around an estimated proportion that indicates the reliability of the estimate.

For more information, see the UK Office for National Statistics and the US Census Bureau.