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).
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).
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