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  2. Margin of error - Wikipedia

    en.wikipedia.org/wiki/Margin_of_error

    For a confidence level, there is a corresponding confidence interval about the mean , that is, the interval [, +] within which values of should fall with probability . ...

  3. 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:

  4. Error bar - Wikipedia

    en.wikipedia.org/wiki/Error_bar

    This statistics -related article is a stub. You can help Wikipedia by expanding it.

  5. Sampling error - Wikipedia

    en.wikipedia.org/wiki/Sampling_error

    In statistics, sampling errors are incurred when the statistical characteristics of a population are estimated from a subset, or sample, of that population. Since the sample does not include all members of the population, statistics of the sample (often known as estimators ), such as means and quartiles, generally differ from the statistics of ...

  6. Standard error - Wikipedia

    en.wikipedia.org/wiki/Standard_error

    Simple English; Српски / srpski ... and we could use this value to calculate ... the mean and standard deviation are descriptive statistics, whereas the ...

  7. Probability of error - Wikipedia

    en.wikipedia.org/wiki/Probability_of_error

    In statistics, the term "error" arises in two ways. ... Thus distribution can be used to calculate the probabilities of errors with values within any given range.

  8. Opinion: Why the margin of error matters in the 2024 election ...

    www.aol.com/opinion-why-margin-error-matters...

    A 2024 general election mail ballot issued by the Erie County Board of Elections.

  9. Prediction interval - Wikipedia

    en.wikipedia.org/wiki/Prediction_interval

    Given a sample from a normal distribution, whose parameters are unknown, it is possible to give prediction intervals in the frequentist sense, i.e., an interval [a, b] based on statistics of the sample such that on repeated experiments, X n+1 falls in the interval the desired percentage of the time; one may call these "predictive confidence intervals".