**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

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... This can be reduced using the

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**Summary statistic**(step 3) Distance (step 4) Outcome (step 4) 1 0.08 AABAAAABAABAAABAAAAA 2 ... accepted 2 0.68 ...

**Summary Statistic**s - Dependence

... Pearson product-moment correlation coefficient, while a common alternative

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

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—George Gordon Noel Byron (1788–1824)