Interquartile range (quartile deviation), also known as the distance or interquartile range (inter-

Interquartile range (quartile deviation), also known as the distance or interquartile range (inter-quartile range), which is the upper quartile (QL) of the difference between wedgwood the lower quartile (QU), usually with Qd said. The formula is: Qd = QU-QL interquartile range reflects the degree of dispersion in the middle 50% of the data, its value is smaller, more focused on the middle of the data; larger the value, the more dispersed the data described in the middle. Interquartile range is not affected wedgwood by extreme values. Further, since the data bits in the intermediate position, the size of a quarter of a degree difference in the median also shows a set of data representative of the degree of. Interquartile range is mainly used measure of the degree of dispersion of data sequentially. For numeric data can also be calculated interquartile range, but not for categorical data. Quartile Ascending is a set of data (or descending) order, the point with all of the data is divided into three equal portions 4, and these three points corresponding wedgwood to the position of the four values is called quantile, denoted by Q1 (first quartile), Q2 (second quartile, the median), Q3 (third quartile). Among them, half the distance between Q1 and Q3 to be called interquartile wedgwood range, denoted by Q. Interquartile range is smaller, more focused on the middle part of the data; greater the quartiles, the middle part of the data means that the more dispersed. http://www.baidu.com / s? tn = haokan123 & wd =% CB% C4% B7% D6% CE% BB% B2% EE
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