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Interquartile mean
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==Comparison with mean and median== The interquartile mean shares some properties of both the [[mean]] and the [[median]]: *Like the [[median]], the IQM is insensitive to [[outlier]]s; in the example given, the highest value (38) was an obvious outlier of the dataset, but its value is not used in the calculation of the IQM. On the other hand, the common average (the [[arithmetic mean]]) is sensitive to these outliers: ''x''<sub>mean</sub> = 8.5. *Like the [[mean]], the IQM is a distinct parameter, based on a large number of observations from the dataset. The [[median]] is always equal to ''one'' of the observations in the dataset (assuming an odd number of observations). The mean can be equal to ''any'' value between the lowest and highest observation, depending on the value of ''all'' the other observations. The IQM can be equal to ''any'' value between the first and third quartiles, depending on ''all'' the observations in the interquartile range.
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