Statistic
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A statistic (singular) is the result of applying a function (statistical algorithm) to 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.
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Examples
In the calculation of the arithmetic mean, for example, the algorithm consists of summing all the data values and dividing this sum by the number of data items. Thus the arithmetic mean is a statistic.
Other examples of statistics include
- Sample mean and sample median
- Sample variance and sample standard deviation
- Sample quantiles besides the median, e.g., quartiles and percentiles
- t statistics, chi-square statistics, f statistics
- Order statistics, including sample maximum and minimum
- Sample moments and functions thereof, including kurtosis and skewness
- Various functionals of the empirical distribution function
On the other hand, the z-score is not a statistic, because it depends on the unknown parameters of the distribution, μ and σ.
Properties
Observability
A statistic is an observable random variable, which differentiates it from a parameter, an unobservable quantity describing a property of a statistical population.
Statisticians often contemplate a parameterized family of probability distributions, any member of which could be the distribution of some measurable aspect of each member of a population, from which a sample is drawn randomly. For example, the parameter may be the average height of 25-year-old men in North America. The height of the members of a sample of 100 such men are measured; the average of those 100 numbers is a statistic. The average of the heights of all members of the population is not a statistic unless that has somehow also been ascertained. The average height of all (in the sense of genetically possible) 25-year-old North American men is a parameter and not a statistic.
Statistical properties
Important potential properties of statistics are completeness, sufficiency and unbiasedness.
See also
de:Statistikfi:Tunnusluku th:ค่าสถิติ
Acknowledgement and Attribution Regarding Sources of Content
Some of the initial content on this page may be incorporated in part from copyleft sources in the public domain including wikis such as Wikipedia and AskDrWiki. Drug information for patients came from the The National Library of Medicine. Infectious disease information may have come from the Centers for Disease Control (CDC). Differential Diagnoses are drawn from clinicians as well as an amalgamation of 3 sources: 1.The Disease Database; 2. Kahan, Scott, Smith, Ellen G. In A Page: Signs and Symptoms. Malden, Massachusetts: Blackwell Publishing, 2004:3; 3. Sailer, Christian, Wasner, Susanne. Differential Diagnosis Pocket. Hermosa Beach, CA: Borm Bruckmeir Publishing LLC, 2002:7 .
