A **statistic** (singular) is a single measure of some attribute of a sample (e.g., its arithmetic mean value). It is calculated by applying a function (statistical algorithm) to the values of the items of the sample which are known together as a set of data.

More formally, statistical theory defines a **statistic** as a function of a sample where the function itself is independent of the sample's distribution; that is, the function can be stated before realization of the data. The term statistic is used both for the function and for the value of the function on a given sample.

A statistic is distinct from a statistical parameter, which is not computable because often the population is much too large to examine and measure all its items. However, a statistic, when used to estimate a population parameter, is called an **estimator**. For instance, the *sample mean* is a statistic which estimates the *population mean*, which is a parameter.

Read more about Statistic: Examples

### Other articles related to "statistic":

**Statistic**s

... The logrank

**statistic**can be derived as the score test for the Cox proportional hazards model comparing two groups ... is therefore asymptotically equivalent to the likelihood ratio test

**statistic**based from that model ... The logrank

**statistic**is asymptotically equivalent to the likelihood ratio test

**statistic**for any family of distributions with proportional hazard alternative ...

**Statistic**

... Information of a

**statistic**on model parameters can be defined in several ways ... information, which is defined on the

**statistic**model induced by the

**statistic**...

... The

**statistic**Sn(θ) is also a form of Moran or Moran-Darling

**statistic**, M(θ), which can be used to test goodness of fit ... It has been shown that the

**statistic**, when defined as is asymptotically normal, and that a chi-squared approximation exists for small samples ... In the case where we know the true parameter, Cheng Stephens (1989) show that the

**statistic**has a normal distribution with where γ is the Euler–Mascheroni constant which is approximately 0.57722 ...

... at a distance of ±3 standard deviations of the plotted

**statistic**from the

**statistic**'s mean ... which are completely independent of the distribution of the plotted sample

**statistic**...