The average can be easily affected by outliers because an outlier can bring the average much higher or lower depending on the value. For example, if this was the data set
0,50,51,52
the average would be 38.25
But without the 0, the average would be 51.<span />
So what you would do is 3000 divided by 150 which is 20 then you would multiply 20 by 2 which is 40 so 40 is most likely defective.
Answer:
b
Step-by-step explanation:
since coefficient of x = 0
<span>B)
8 ft
6, 8, 10 are lengths of a Pythagorean triple
6^2 + 8^2 = 10^2</span><span>
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