This simple margin of error (MOE) calculator can be employed to compute the MOE of a survey in accordance with the sample proportion and size, and the desired confidence level. What is the Margin of Error? The margin of error (MOE) for a survey tells you how near you can expect the survey results to be to the correct population value. For example, a survey indicates that 72% of respondents favor Brand A over Brand B with a 3% margin of error. Understand the accuracy of your survey data in seconds with our handy Margin of Error Calculator. Learn what margin of error is, when it should be used and what affects it. The margin of error is defined as the range of values below and above the sample statistic in a confidence interval. The confidence interval is a way to show what the uncertainty is with a certain statistic. The margin of error is a statistical value that measures how much a sample survey’s results are expected to differ from the true population result. It is mainly denoted by a plus/minus symbol (±) followed by a percentage. Master the margin of error. Learn how sample size and confidence intervals affect statistical accuracy with formulas, clear examples, and a free calculator. A margin of error tells you how many percentage points your results will differ from the real population value. For example, a 95% confidence interval with a 4 percent margin of error means that your statistic will be within 4 percentage points of the real population value 95% of the time. The margin of error is a statistical measure of how closely the results from a survey mirror the views of the whole population. The margin of error measures your survey's accuracy. The smaller the margin of error, the more confidence you may have in your results. The margin of error is a statistic expressing the amount of random sampling error in the results of a survey. The larger the margin of error, the less confidence one should have that a poll result would reflect the result of a simultaneous census of the entire population. In statistics, the margin of error is a crucial measure that defines the range within which the true value of a true population parameter is expected to lie based on sample data. It provides researchers with a sense of the precision and reliability of their survey results.