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What is the 1.5 x criterion used for?

1) Identifying potential outliers
2) Calculating the mean
3) Determining the standard deviation
4) Finding the median

1 Answer

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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.

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