Can you rely on your survey results? By calculating your margin of error (also known as a confidence interval), you can tell how much the opinions and behavior of the sample you survey is likely to deviate from the total population. This margin of error calculator makes it simple.
Calculate Your Margin of Error:
Margin of Error (%)
What is margin of error?
Your margin of error is the possible range of values above and below the response you get from a given sample. As an example, let’s say you were trying to decide between Name A and Name B for a new product your company planned to launch, and your target market (the “population”) consists of 400,000 potential customers. If you surveyed 600 of them (your “sample size”), and 60% of them liked Name A could you rely on your survey results?
Using the margin of error calculator with a confidence level of 95% (meaning there’s a 95% likelihood that your sample accurately reflects the attitudes of your potential customers), you’ll see that the margin of error is 4%. That means there’s a 95% likelihood that between 56% to 64% of your target audience will prefer Name A.
We get to 56 and 64 by adding and subtracting the margin of error from your sample’s response to your survey.
Is your margin of error too big?
If you calculate your margin of error and it feels too big, you’ll need to increase your sample size by sending your survey to more people. With SurveyMonkey Audience, we make it easy to get the sample you need. We have millions of people who are ready to take your surveys. Just give us your criteria, and we’ll get you answers you can rely on in just a few days.
If you want to calculate your sample size, check out our sample size calculator.