Margin of error is an estimate of how far true population values may be from the collected sample data. It is generally expressed in percentage points and depends on the size of your sample, the standard deviation within the sample and the confidence level. Simply put, you want to have the lowest possible margin of error at the highest possible confidence level.
The total number of people who participate in a survey.
The probability that the sample accurately reflects the attitudes of your population. 95% is most commonly used.
The standard deviation reflects how much the response behaviour of the population varies around the average. 0.5 is the default value and serves most use cases.
Only adjust this value if you see a low variance in the the response behaviour of your sample or use the chat for help.
Margin of Error
The exact probabilities, averages etc, are likely within {moe} above or below the results of the sample.
An acceptable margin of error used by most researchers typically falls between 3% and 6% at the 95% confidence level.
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