Final answer:
The 1.5 x criterion is used for identifying potential outliers in a dataset using the interquartile range (IQR). Any data value that is smaller than Q1 - (1.5 x IQR) or larger than Q3 + (1.5 x IQR) is considered an outlier.
Step-by-step explanation:
The 1.5 x criterion is used for identifying potential outliers in a dataset. It involves using the interquartile range (IQR) to determine if a data value is significantly different from the rest of the data. The formula to identify outliers is:
Outliers: Q1 - (1.5 x IQR) and Q3 + (1.5 x IQR)
Any data value that is smaller than Q1 - (1.5 x IQR) or larger than Q3 + (1.5 x IQR) is considered an outlier.