Question: A data point that is outside the normal distribution of data is called an outlier, which is often removed from the data before analysis because

A data point that is outside the normal distribution of data is called an "outlier," which is often removed from the data before analysis because it:
Multiple Choice
Leads to unbiased calculations.
Can distort the results of the data analysis.
Will always add bias to the results of a high-low analysis.
Has an upward bias on the statistical measures in regression.
A data point that is outside the normal

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