Suppose that a data set has a mean of 24. An outlier with an value of 1000 is added to the data set. What affect would this outlier have on the mean?
A: The outlier would increase the mean.
B: The outlier would not change the mean.
C: The outlier would decrease the mean.

step-by-step explanation:

company a

step-by-step explanation:

using the linear regression models , it is found that company a   pays about $14 more. but using the same regression (linear) company b pays about $10 more.

so company a pays more than b

6^2 or 36

step-by-step explanation:

6000n

6×1000n

6×10^3 n

so we need 6n need to be a perfect cube

so n has to be 6^2 so that 6n is 6^3

what i'm saying is if you let n be 6^2 you have 6^3×10^3 or 60^3 which is a perfect cube