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  • Standard Deviation

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Standard Error

The standard error is a measure of variability calculated by dividing the standard deviation (sss) of a group by the square root of its sample size (nnn), expressed as SE=snSE = \frac{s}{\sqrt{n}}SE=n​s​. In general, a difference between group means that exceeds two standard errors indicates statistical significance.

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Updated 2026-05-04

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References


  • KPU Research Methods in Psychology - 4th American Edition

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KPU

Research Methods in Psychology - 4th American Edition @ KPU

Related
  • What does a standard deviation measure in a dataset?

  • Which of the following best describes what a high standard deviation indicates about a dataset?

  • If a dataset has a low standard deviation, what can be inferred about the data points?

  • Which of the following statements is true about standard deviation?

  • Pooled Within-Groups Standard Deviation

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  • Standard Error

  • Statistical Standard Deviation Formula

  • Variance

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  • Example of Standard Deviations in Distributions

  • z Score

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  • Formula for the Standard Deviation

  • Formula for the Standard Deviation

  • Which statistical measure is defined as representing the average distance that individual scores within a distribution deviate from the overall average?

Learn After
  • Which of the following correctly describes how to calculate the standard error of a group?

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