Answer:
Outliers are often extreme values that are not as representative of the data set as the other points in the cluster. If the outliers are included, a description of the data set might be misrepresented.
Step-by-step explanation:
$ 0.13
1/3 =5x-2
3(1/3)=3(5x-2)
1=15x-6
7=15x
x=7/15 (7/15 , 1/3)
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