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Margin of Error

What is Margin of Error?

The margin of error represents half the breadth of a confidence interval associated with a specific metric. With the margin of error and an observed score, one can calculate the confidence interval. Essentially, the margin of error and the confidence interval convey similar information, and typically only one of them is reported.

Synonyms: Sampling error

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Why is Margin of Error Important?

  • Precision Indicator: The margin of error provides a measure of the precision of an estimate, indicating the extent to which the observed score may deviate from the true population parameter.
  • Confidence Interval Computation: It serves as a crucial component in calculating confidence intervals, helping researchers determine the range within which the true value of a metric is likely to fall.
  • Statistical Reporting: While the margin of error and confidence interval convey similar information, reporting the margin of error offers a succinct way to communicate the level of uncertainty associated with an estimate, aiding in the interpretation of study findings.

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