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  2. Coefficient of variation - Wikipedia

    en.wikipedia.org/wiki/Coefficient_of_variation

    The data set [90, 100, 110] has more variability. Its standard deviation is 10 and its average is 100, giving the coefficient of variation as 10 / 100 = 0.1; The data set [1, 5, 6, 8, 10, 40, 65, 88] has still more variability. Its standard deviation is 32.9 and its average is 27.9, giving a coefficient of variation of 32.9 / 27.9 = 1.18

  3. Variance - Wikipedia

    en.wikipedia.org/wiki/Variance

    The general formula for variance decomposition or the law of total variance is: If and are two random variables, and the ... Coefficient of variation;

  4. Coefficient of determination - Wikipedia

    en.wikipedia.org/wiki/Coefficient_of_determination

    Ordinary least squares regression of Okun's law.Since the regression line does not miss any of the points by very much, the R 2 of the regression is relatively high.. In statistics, the coefficient of determination, denoted R 2 or r 2 and pronounced "R squared", is the proportion of the variation in the dependent variable that is predictable from the independent variable(s).

  5. Covariance - Wikipedia

    en.wikipedia.org/wiki/Covariance

    The magnitude of the covariance is the geometric mean of the variances that are in common for the two random variables. The correlation coefficient normalizes the covariance by dividing by the geometric mean of the total variances for the two random variables.

  6. Root mean square deviation - Wikipedia

    en.wikipedia.org/wiki/Root_mean_square_deviation

    In fluid dynamics, normalized root mean square deviation (NRMSD), coefficient of variation (CV), and percent RMS are used to quantify the uniformity of flow behavior such as velocity profile, temperature distribution, or gas species concentration. The value is compared to industry standards to optimize the design of flow and thermal equipment ...

  7. Qualitative variation - Wikipedia

    en.wikipedia.org/wiki/Qualitative_variation

    An approximate formula for the standard deviation (SD) ... This is the square of the coefficient of variation divided by N − 1 where N is the sample size.

  8. Covariance and correlation - Wikipedia

    en.wikipedia.org/wiki/Covariance_and_correlation

    With any number of random variables in excess of 1, the variables can be stacked into a random vector whose i th element is the i th random variable. Then the variances and covariances can be placed in a covariance matrix, in which the (i, j) element is the covariance between the i th random variable and the j th one.

  9. Pooled variance - Wikipedia

    en.wikipedia.org/wiki/Pooled_variance

    The pooled variance is an estimate of the fixed common variance underlying various populations that have different means. We are given a set of sample variances s i 2 {\\displaystyle s_{i}^{2}} , where the populations are indexed i = 1 , … , m {\\displaystyle i=1,\\ldots ,m} ,