Data are collected about the amount of time, in minutes, each member of the lacrosse team spends practicing. How does a single outlier change the mean of the collected data?
A single outlier causes the value of the mean to move slightly toward the outlier.
A single outlier causes the value of the mean to move slightly away from the outlier.
A single outlier does not affect the value of the mean.
A single outlier doubles the value of the mean.

Respuesta :

the mean is affected by an outlier...lets find out how...

example : (2,3,4,5,30)
the outlier is 30
the mean is :(2 + 3 + 4 + 5 + 30) / 5 = 44/5 = 8.8

now lets take out the outlier of 30...and find the mean
(2 + 3 + 4 + 5) / 4 = 14/4 = 3.5

therefore, a single outlier can cause the value of the mean to move slightly towards the outlier

A single outlier causes the value of the mean to move slightly toward the outlier.

What is outlier?

An outlier is one of the data among a set of multiple observations that will differ significantly from others.

Let, a data of time has three different values (1, 45, 2).

Here, the outlier is 45 and the mean is = (1 + 45 + 2)/ 3 = 16.

If we eliminate the outlier, then set of time will be (1, 2).

Now, mean is = (1 + 2)/2 = 1.5.

Hence, a single outlier will cause the value of the mean to move slightly towards the outlier.

Learn more about outlier here: https://brainly.com/question/26958242

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