Standard Error Calculator for Two Proportions
Standard error for two proportions is a statistical measure that quantifies the uncertainty of the difference between two proportions. It’s crucial for comparing two groups and making data-driven decisions.
- Enter the proportions and sample sizes for both groups.
- Click ‘Calculate’ to see the standard error and a visual representation.
The formula for standard error of the difference between two proportions is:
SE = sqrt(p1(1-p1)/n1 + p2(1-p2)/n2)
where p1 and p2 are the proportions, and n1 and n2 are the sample sizes.
| Proportion 1 | Proportion 2 | Sample Size 1 | Sample Size 2 | Standard Error |
|---|
- Always use the standard error to assess the reliability of your results.
- Consider the sample sizes when interpreting the standard error.
What is the difference between standard error and standard deviation?
Standard error measures the spread of a sampling distribution, while standard deviation measures the spread of a dataset.