quartile deviation - ορισμός. Τι είναι το quartile deviation
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Τι (ποιος) είναι quartile deviation - ορισμός

MEASURE OF STATISTICAL DISPERSION
IQR; Inter-quartile range; Interquartile Range; Interquartile ranges; Quartile deviation; Middle 50%; Semi-interquartile range
  • [[Box-and-whisker plot]] with four mild outliers and one extreme outlier. In this chart, outliers are defined as mild above Q3 + 1.5 IQR and extreme above Q3 + 3 IQR.

Average absolute deviation         
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SUMMARY STATISTIC OF VARIABILITY
Mean Absolute Deviation; Mean absolute deviation; Maximum absolute deviation
The average absolute deviation (AAD) of a data set is the average of the absolute deviations from a central point. It is a summary statistic of statistical dispersion or variability.
Quartile         
THE THREE POINTS THAT DIVIDE THE DATA SET INTO FOUR EQUAL GROUPS IN DESCRIPTIVE STATISTICS
First quartile; Quartiles; Quartil; Q2 (statistics); Upper quartile; Lower quartile; Second quartile; Third quartile
·noun ·same·as Quadrate.
Quartile         
THE THREE POINTS THAT DIVIDE THE DATA SET INTO FOUR EQUAL GROUPS IN DESCRIPTIVE STATISTICS
First quartile; Quartiles; Quartil; Q2 (statistics); Upper quartile; Lower quartile; Second quartile; Third quartile
In statistics, a quartile is a type of quantile which divides the number of data points into four parts, or quarters, of more-or-less equal size. The data must be ordered from smallest to largest to compute quartiles; as such, quartiles are a form of order statistic.

Βικιπαίδεια

Interquartile range

In descriptive statistics, the interquartile range (IQR) is a measure of statistical dispersion, which is the spread of the data. The IQR may also be called the midspread, middle 50%, fourth spread, or H‑spread. It is defined as the difference between the 75th and 25th percentiles of the data. To calculate the IQR, the data set is divided into quartiles, or four rank-ordered even parts via linear interpolation. These quartiles are denoted by Q1 (also called the lower quartile), Q2 (the median), and Q3 (also called the upper quartile). The lower quartile corresponds with the 25th percentile and the upper quartile corresponds with the 75th percentile, so IQR = Q3 −  Q1.

The IQR is an example of a trimmed estimator, defined as the 25% trimmed range, which enhances the accuracy of dataset statistics by dropping lower contribution, outlying points. It is also used as a robust measure of scale It can be clearly visualized by the box on a box plot.