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  2. Error bar - Wikipedia

    en.wikipedia.org/wiki/Error_bar

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

  3. Error floor - Wikipedia

    en.wikipedia.org/wiki/Error_floor

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Help; Learn to edit; Community portal; Recent changes; Upload file

  4. Homoscedasticity and heteroscedasticity - Wikipedia

    en.wikipedia.org/wiki/Homoscedasticity_and...

    “Skedasticity” comes from the Ancient Greek word “skedánnymi”, meaning “to scatter”. [ 1 ] [ 2 ] [ 3 ] Assuming a variable is homoscedastic when in reality it is heteroscedastic ( / ˌ h ɛ t ər oʊ s k ə ˈ d æ s t ɪ k / ) results in unbiased but inefficient point estimates and in biased estimates of standard errors , and may ...

  5. Scatter matrix - Wikipedia

    en.wikipedia.org/wiki/Scatter_matrix

    In multivariate statistics and probability theory, the scatter matrix is a statistic that is used to make estimates of the covariance matrix, for instance of the multivariate normal distribution. Definition

  6. Q–Q plot - Wikipedia

    en.wikipedia.org/wiki/Q–Q_plot

    Q–Q plot for first opening/final closing dates of Washington State Route 20, versus a normal distribution. [5] Outliers are visible in the upper right corner. A Q–Q plot is a plot of the quantiles of two distributions against each other, or a plot based on estimates of the quantiles.

  7. Errors and residuals - Wikipedia

    en.wikipedia.org/wiki/Errors_and_residuals

    For example, if the mean height in a population of 21-year-old men is 1.75 meters, and one randomly chosen man is 1.80 meters tall, then the "error" is 0.05 meters; if the randomly chosen man is 1.70 meters tall, then the "error" is −0.05 meters.

  8. Propagation of uncertainty - Wikipedia

    en.wikipedia.org/wiki/Propagation_of_uncertainty

    Any non-linear differentiable function, (,), of two variables, and , can be expanded as + +. If we take the variance on both sides and use the formula [11] for the variance of a linear combination of variables ⁡ (+) = ⁡ + ⁡ + ⁡ (,), then we obtain | | + | | +, where is the standard deviation of the function , is the standard deviation of , is the standard deviation of and = is the ...

  9. Talk:Error bar - Wikipedia

    en.wikipedia.org/wiki/Talk:Error_bar

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