An outlier is defined as any observation in a dataset that is 1.5 IQRs greater than the third quartile or 1.5 IQRs less than the first quartile, where IQR stands for “interquartile range” and is the difference between the first and third quartile.
To identify outliers for a given dataset, enter your comma separated data in the box below, then click the “Identify Outliers” button:
Outliers:
Minimum:
First quartile:
Median:
Third quartile:
Maximum: