PROBABILITY

Variance decomposition identity

uses the second-order moment to measure the dispersion of random variables around the mean.

Var⁡(X)=E[X2]−E[X]2\operatorname{Var}(X)=\mathbb E[X^2]-\mathbb E[X]^2

symbols, variables and units

Var(X): variance, unit is the square of X unit; E: expectation.

applicable conditions and boundaries

The second-order moment is limited; sample estimation needs to distinguish between n and n−1.

formula source code

The following is a copyable LaTeX expression.

\operatorname{Var}(X)=\mathbb E[X^2]-\mathbb E[X]^2

Reference and Extended Learning

Harvard Stat 110 · Probability ↗

is organized according to model definition and assumptions. Please check actual conditions and original literature before engineering, research and clinical use.

variancevariance

How can this knowledge be incorporated into high-end products?

Relevant scientific figures and methodological contributions

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