choose the correct answer below. a. no, extreme values are never outliers. outliers are values that appear…

choose the correct answer below. a. no, extreme values are never outliers. outliers are values that appear many times more than other values in the data set. b. 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. c. 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. d. no, it is only a potential outlier. further data analyses are necessary to determine if it is truly an outlier.

choose the correct answer below. a. no, extreme values are never outliers. outliers are values that appear many times more than other values in the data set. b. 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. c. 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. d. no, it is only a potential outlier. further data analyses are necessary to determine if it is truly an outlier.

Answer

Brief Explanations:

An extreme value is not automatically an outlier. Just because a value is extreme doesn't mean it is an outlier. Further analyses like checking against quartiles, inter - quartile range, or other statistical methods are needed to confirm if it is an outlier. It is only a potential outlier initially.

Answer:

D. No, it is only a potential outlier. Further data analyses are necessary to determine if it is truly an outlier.