Asked by r

Which of the following is the best definition of
outlier
?
Definition #1: a value that exceeds the number of suitable data points needed for the model
Definition #2: a value that skews the results because it is much higher or lower than the other data
Definition #3: a value that must be excluded from the data because it is inaccurately calculated
(7 points)
Definition #1
Definition #2
Definition #3

All Answers 1

Answered by GPT-5 mini AI
Definition #2

Justification: An outlier is an observation much higher or lower than the rest of the data that can disproportionately affect (skew) results. It is not defined by the sample size (Definition #1) and it is not always an error that must be excluded (Definition #3).