Question

Select all that apply.

Answer 1

A. This is not the correct answer because an outlier is observed and not a false data point (assuming the observation was done correctly). So we can rule out choice A.

B. An outlier does affect the mean. For example, if you have an outlier that is too high compared to the main cluster of values, then the mean will be larger than it should be. This is why we can rule out choice B

C. This is the correct answer. The outlier value is some value far removed from the main cluster or group of data values. It can be really high or really low. 

D. This may seem like the answer, but not all outliers are the min or max. Its possible to have an outlier that is smaller than another outlier. So this is why we can rule out choice D.

----------------------------------------------------------------------------------------

In summary, the only answer is choice C

Answer 2

The answer is D. An outlier is always the highest or lowest value in a data set.