**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":

... 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 ... 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 AABBABABAAABBABABBAB 13 ...

**Summary Statistic**s - Dependence

... correlation coefficient, while a common alternative

**summary statistic**is Spearman's rank correlation coefficient ...

### 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)