Summary Statistic

Summary Statistic

In descriptive statistics, summary statistics are used to summarize a set of observations, in order to communicate the largest amount as simply as possible. Statisticians commonly try to describe the observations in

  • a measure of location, or central tendency, such as the arithmetic mean
  • a measure of statistical dispersion like the standard deviation
  • a measure of the shape of the distribution like skewness or kurtosis
  • if more than one variable is measured, a measure of statistical dependence such as a correlation coefficient

A common collection of order statistics used as summary statistics are the five-number summary, sometimes extended to a seven-number summary, and the associated box plot.

Entries in an analysis of variance table can also be regarded as summary statistics.

Read more about Summary Statistic:  Example

Other articles related to "summary statistic":

Examples of Summary Statistics - Dependence
... product-moment correlation coefficient, while a common alternative summary statistic is Spearman's rank correlation coefficient ...
Approximate Bayesian Computation - Example
... This can be reduced using the summary statistic S, which is the frequency of switches between the two states ... The associated summary statistic, the number of switches between the states in the experimental data, is. 1 Example of ABC rejection algorithm i Simulated datasets (step 2) Summary statistic (step 3) Distance (step 4) Outcome (step 4) 1 0.08 AABAAAABAABAAABAAAAA 2 ... accepted 2 0.68 ...

Famous quotes containing the word summary:

    Product of a myriad various minds and contending tongues, compact of obscure and minute association, a language has its own abundant and often recondite laws, in the habitual and summary recognition of which scholarship consists.
    Walter Pater (1839–1894)