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  2. Probable error - Wikipedia

    en.wikipedia.org/wiki/Probable_error

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  3. Probability of error - Wikipedia

    en.wikipedia.org/wiki/Probability_of_error

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  4. Errors and residuals - Wikipedia

    en.wikipedia.org/wiki/Errors_and_residuals

    It is remarkable that the sum of squares of the residuals and the sample mean can be shown to be independent of each other, using, e.g. Basu's theorem.That fact, and the normal and chi-squared distributions given above form the basis of calculations involving the t-statistic:

  5. File:R histogram sample mean.pdf - Wikipedia

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  6. Standard error - Wikipedia

    en.wikipedia.org/wiki/Standard_error

    Small samples are somewhat more likely to underestimate the population standard deviation and have a mean that differs from the true population mean, and the Student t-distribution accounts for the probability of these events with somewhat heavier tails compared to a Gaussian.

  7. Observational error - Wikipedia

    en.wikipedia.org/wiki/Observational_error

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  9. Mean absolute error - Wikipedia

    en.wikipedia.org/wiki/Mean_absolute_error

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