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Interquartile Range Of Data. The interquartile range IQR is the range from the 25 th percentile to the 75 th percentile or middle 50 percent of a set of numbers. In statistical dispersion Interquartile range IQR is the measurement of difference between the third and the first quartiles. This number is what cuts the data set. The interquartile range is the middle half of the data that lies between the upper and lower quartiles.
Mathematically it is obtained when the 1st quartile is. In this video we go over an example of finding the interquartile r. And they are denoted by Q1 Q2 and Q3 respectively. To find the interquartile range IQR first find the median middle value of the lower and upper half of the data. The interquartile range of a dataset often abbreviated IQR is the difference between the first quartile the 25th percentile and the third quartile the 75th percentile of the dataset. Outliers are individual values that fall outside of the overall pattern of a data set.
The Interquartile range or IQR is defined as the.
And they are denoted by Q1 Q2 and Q3 respectively. The interquartile range IQR is a measure of variability based on dividing a data set into quartiles. The Interquartile range or IQR is defined as the. In other words the interquartile range includes the 50 of data points that are above Q1 and below Q4. The interquartile range IQR contains the second and third quartiles or the middle half of your data set. InterQuartile Range IQR When a data set has outliers or extreme values we summarize a typical value using the median as opposed to the mean.