Is an extreme observation necessarily an outlier? Explain your answer.

MATLAB: An Introduction with Applications
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Is an extreme observation necessarily an outlier? Explain your answer.
Choose the correct answer below.
A. Yes, extreme values are always outliers. When using a boxplot to identify outliers, the upper and lower fences are specifically constructed to find the outliers.
B. No, extreme values are never outliers. Outliers are values that appear many times more than other values in the data set.
C. No, it is only a potential outlier. Whether or not it is truly an outlier depends on whether it is much greater or much less than the other values in the data set.
D. No, it is only a potential outlier. Further data analyses are necessary to determine if it is truly an outlier.
Transcribed Image Text:Is an extreme observation necessarily an outlier? Explain your answer. Choose the correct answer below. A. Yes, extreme values are always outliers. When using a boxplot to identify outliers, the upper and lower fences are specifically constructed to find the outliers. B. No, extreme values are never outliers. Outliers are values that appear many times more than other values in the data set. C. No, it is only a potential outlier. Whether or not it is truly an outlier depends on whether it is much greater or much less than the other values in the data set. D. No, it is only a potential outlier. Further data analyses are necessary to determine if it is truly an outlier.
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