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the claim

The standard error of a sample mean shrinks in proportion to the square root of the sample size.

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SUPPORTED
the evidence backs this
Recorded sources
3 sources for · 0 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Is it true that the standard error of a sample mean shrinks in proportion to the square root of the sample size?

Yes. A reference article states directly that the standard error of the mean equals the standard deviation divided by the square root of the sample size, which is the claim's proportionality. Two further studies report only that standard error decreases as sample size grows, without the square-root form.

Verdict: SUPPORTED · 3 sources for, 0 against · Last checked

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Evidence for · 3
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Standard error. (n.d.). en.wikipedia.org. https://en.wikipedia.org/wiki/Standard_error

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More for · 2
2017
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Expert-based ecosystem services capacity matrices: Dealing with scoring variability. (2017). hal.science. https://doi.org/10.1016/j.ecolind.2017.03.043

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Exploring errors in paleoclimate proxy reconstructions using Monte Carlo simulations: paleotemperature from mollusk and coral geochemistry. (n.d.). cir.nii.ac.jp. https://doi.org/10.5194/cp-8-433-2012

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