Which of the following statements could be an explanation for the presence of an outlier in the
data?
A) The measurement is incorrect. It may have been observed, recorded, or entered into the
computer incorrectly.
B) The measurement may be correct and from the same population as the rest but represents
a rare event. Generally, we accept this explanation only after carefully ruling out all
others.
C) The measurement belongs to a population different from that from which the rest of the
sample was drawn.
D) All of the above are explanations for outliers.
D
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A) finding flaws in others' ideas B) going with your gut instinct C) being able to make decisions quickly D) having opinions that are backed by reason and evidence
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A) Yes. B) No.