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    Covariance

    Alternate name

    cov

    Basic definition

    The covariance of a set of variables is a measure of the strength of their correlation.

    Detailed definition

    Covariance provides a measure of the strength of the correlation between two or more sets of random variates. The covariance for two random variates X and Y, each with sample size N, is defined by the expectation value cov(X, Y) | = | 〈(X - μ_X)(Y - μ_Y)〉 | = | 〈X Y〉 - μ_X μ_y where μ_x = 〈X〉 and μ_y = 〈Y〉 are the respective means, which can be written out explicitly as cov(X, Y) = sum_(i = 1)^N ((x_i - x^_)(y_i - y^_))/N.

    Related terms

    bivariate normal distribution | correlation coefficient | covariance matrix | statistical correlation | variance

    Related Wolfram Language symbol

    Covariance

    Educational grade level

    college level

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