**Degrees of Freedom**

**Degrees of Freedom:**

In statistics, the term * degrees of freedom * (df) is a measure of the number of independent pieces of information on which a parameter estimate is based. It is a measure of how much precision an estimate of variability has .

The * degrees of freedom * for an estimate equals the number of observations (values) minus the number of additional parameters estimated for that calculation . As we have to estimate more parameters, the *degrees of freedom* available decreases. It can also be thought of as the number of observations (values) which are freely available to vary given the additional parameters estimated.

It can be thought of two ways: in terms of sample size and in terms of dimensions and parameters.

The * degrees of freedom * (df for short) are the number of participants minus 1: equation N-1

The meaning of df (* degrees of freedom *) is to equal out the variance between the sample and the population, as the sample is clearly more variant as it is a sample (small amount) taken from the larger population . Thus the df tries to compensate for this indiscrepancy in variance when computing the total variance of a group by minusing 1 from the number of the sample. This example is taken from statistical analyses used in health sciences.

**Spanish ~ Español -** grados de libertad

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