# Precision (statistics)

## Reciprocal of the statistical variance / From Wikipedia, the free encyclopedia

In statistics, the **precision matrix** or **concentration matrix** is the matrix inverse of the covariance matrix or dispersion matrix, .[1][2][3]
For univariate distributions, the precision matrix degenerates into a scalar **precision**, defined as the reciprocal of the variance, .[4]

Other summary statistics of statistical dispersion also called *precision* (or *imprecision*[5][6])
include the reciprocal of the standard deviation, ;[3]
the standard deviation itself and the relative standard deviation;[7]
as well as the standard error[8] and the confidence interval (or its half-width, the margin of error).[9]