Moe Finkelstein
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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.
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 census of the entire population.
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 in statistics is the degree of error in results received from random sampling surveys. A higher margin of error in statistics indicates less likelihood of relying on the results of a survey or poll, i.e. the confidence on the results will be lower to represent a population.
Learn how to calculate margin of error for surveys and how it affects your results. Find out how to choose the right sample size, confidence level, and confidence interval for your survey design.
Mar 8, 2023 · The Margin of Error (MoE) is a statistical concept that helps to measure the uncertainty of a survey or poll result. It is typically expressed as a percentage or number. Surveys and polls are usually based on samples, which are smaller groups selected from the larger population.
This lesson defines the margin of error and describes step-by-step how to compute the margin of error. Includes sample problem with solution.
