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 Description  
 Interquartile Range:  The difference between the 25th and the 75th percentile in a data set.
Interquartile range is used as a measure of spread for data sets, because it is less likely to be influenced by outliers compared to other measures of central tendency or spread. The interquartile range can be found by identifying the median of a data set and various percentiles. The median of numbers that are less than or equal to the median represents the 25th percentile. This means that 25% of the numbers in the data set fall at or below this number. The median of numbers that are greater than or equal to the median represents the 75 percentile. The 75th percentile is the number where 75% of the data falls at or below this number. The distance between the 25th and the 75th percentiles is the interquartile range.