Interpreting Clusters and Outliers

Question 1

The point is an outlier in the data set.

Revolt · Accepted Answer

(8, 75)

Question 2

How many outliers does the data set have?

Revolt · Accepted Answer

2

Question 3

Which statement is true?

Revolt · Accepted Answer

By excluding the outlier, a better description can be given for the data set.

Question 4

Check all of the following that you included in your response.

Revolt · Accepted Answer

Outliers are less reliable than points in a cluster for representing the data set as a whole.; Outliers are often extreme values that occur rarely.; If outliers are not excluded, the interpretation of the data set may be overstated or understated.; If an important decision is based on an interpretation of the data set, excluding outliers provides the best basis for the decision.

Interpreting Clusters and Outliers Answers

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