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Covariance vs Covary - What's the difference?

covariance | covary | Related terms |

Covariance is a related term of covary.


In statistics|lang=en terms the difference between covariance and covary

is that covariance is (statistics) a statistical measure defined as \scriptstyle\operatorname{cov}(x, y) = \operatorname{e}((x - \mu) (y - \nu)) given two real-valued random variables x'' and ''y , with expected values \scriptstyle e(x)\,=\,\mu and \scriptstyle e(y)\,=\,\nu while covary is (statistics) to vary together with another variable, particularly in a way that may be predictive.

As a noun covariance

is (statistics) a statistical measure defined as \scriptstyle\operatorname{cov}(x, y) = \operatorname{e}((x - \mu) (y - \nu)) given two real-valued random variables x'' and ''y , with expected values \scriptstyle e(x)\,=\,\mu and \scriptstyle e(y)\,=\,\nu.

As a verb covary is

(statistics) to vary together with another variable, particularly in a way that may be predictive.

covariance

Noun

(en noun)
  • (statistics) A statistical measure defined as \scriptstyle\operatorname{Cov}(X, Y) = \operatorname{E}((X - \mu) (Y - \nu)) given two real-valued random variables X'' and ''Y , with expected values \scriptstyle E(X)\,=\,\mu and \scriptstyle E(Y)\,=\,\nu.
  • (computing, programming) The conversion of data types from wider to narrower in certain situations.
  • See also

    * contravariance

    Derived terms

    * covariance matrix

    covary

    English

    Verb

  • (statistics) To vary together with another variable, particularly in a way that may be predictive
  • *{{quote-journal, 2007, date=July 18, Thomas Sattig, Identity in 4D, Philosophical Studies, url=, doi=10.1007/s11098-007-9136-6, volume=140, issue=2, pages=
  • , passage=More specifically, to say that there is an informative criterion of diachronic identity is to say that facts of diachronic identity covary with facts about continuants’ instantaneous qualitative profiles