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  2. Relative change - Wikipedia

    en.wikipedia.org/wiki/Relative_change

    Learn how to compare two quantities while taking into account their sizes using relative change and its formulas. Find out the difference between relative change, percent error, and percentage change, and see examples and applications.

  3. 68–95–99.7 rule - Wikipedia

    en.wikipedia.org/wiki/68–95–99.7_rule

    In statistics, the 68–95–99.7 rule, also known as the empirical rule, and sometimes abbreviated 3sr, is a shorthand used to remember the percentage of values that lie within an interval estimate in a normal distribution: approximately 68%, 95%, and 99.7% of the values lie within one, two, and three standard deviations of the mean, respectively.

  4. Absolute difference - Wikipedia

    en.wikipedia.org/wiki/Absolute_difference

    The absolute difference of two real numbers is the distance on the real line between them. It is a special case of the L p distance and a metric that satisfies the properties of non-negativity, symmetry, and triangle inequality.

  5. Percentage point - Wikipedia

    en.wikipedia.org/wiki/Percentage_point

    A percentage point is the unit for the arithmetic difference between two percentages. Learn how to use and interpret percentage points in statistics, probability, and risk assessment.

  6. Mean absolute error - Wikipedia

    en.wikipedia.org/wiki/Mean_absolute_error

    Learn how to calculate and interpret MAE, a measure of errors between paired observations expressing the same phenomenon. Compare MAE with other related measures, such as RMSE, MASE, and MALE.

  7. Mean absolute percentage error - Wikipedia

    en.wikipedia.org/wiki/Mean_absolute_percentage_error

    MAPE (mean absolute percentage error) and WMAPE (weighted mean absolute percentage error) are measures of prediction accuracy for forecasting methods. Learn their formulas, advantages, drawbacks and alternatives from Wikipedia.

  8. Mean squared error - Wikipedia

    en.wikipedia.org/wiki/Mean_squared_error

    Learn the definition, properties and applications of mean squared error (MSE) in statistics and machine learning. MSE measures the average of the squares of the ...

  9. Propagation of uncertainty - Wikipedia

    en.wikipedia.org/wiki/Propagation_of_uncertainty

    Learn how variables' uncertainties affect the uncertainty of a function based on them. Find formulas, examples, and caveats for linear and non-linear combinations, reciprocal and shifted reciprocal functions, and ratios.