Degrees of freedom

Topic of Statistical inference, part of Statistical inference

Degrees of freedom

Type Topic
Taught in Statistical inference
Part Statistical inference
Questions using it 28

The parameter of the chi-squared, t and F families, and the number of independent pieces of information behind a variance estimate: n-1 for a sample variance, n-p for a regression with p coefficients, (r-1)(c-1) for a test of independence in an r\times c table.

In Statistical inference

If Z_1,\ldots,Z_m are independent standard normal variables, then V=Z_1^2+\cdots+Z_m^2 has the chi-squared distribution with m degrees of freedom, written \chi^2_m. It is the gamma law with shape m/2 and rate 1/2, so \mathbb{E} V=m and \operatorname{Var} V=2m.

Used in

See also

Variance · Chi-squared test of independence · Chi-squared distribution · F distribution · Likelihood-ratio test · Null deviance · One-sample t pivot · Ordinary least squares

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